Milestone Systems- Experts & Thought Leaders

With 1,300 cameras recording 24/7 and more than 1,000 investigations to process per year, Massachusetts General Hospital’s security team was not able to keep up with the vast amounts of recorded video. Now, BriefCam Syndex Pro for fast video review, search and analysis, embedded within a Milestone XProtect video management software (VMS) platform is making efficient and effective video investigation possible. Unique challenges to security Massachusetts General Hospital’s (MGH) Police, Security and Outside Services Department provides some security services to many other Partners hospitals and facilities. Following its recent digital conversion, unified on the Milestone XProtect VMS platform, MGH’s security team was able to expand camera coverage by adding new Axis network cameras directly to the existing IP network. The hospital environment presents unique challenges to security, Michelman points out “The number of investigations we were doing was taking huge amounts of time in terms of reviewing video, and that was really a waste of time,” said Bonnie Michelman, MGH Executive Director of Police, Security and Outside Services and Consultant for Partners Healthcare. The hospital environment presents unique challenges to security, Michelman points out. MGH’s 17-acre urban campus, comprising 29 contiguous and 14 separate buildings (including underground and freestanding garage facilities), is complex. The security team must also take into account not only the main location, but also dozens of satellite facilities around the Boston area. Enterprise risk management “We can’t cover all of these facilities with security staff,” said Michelman. “We need to augment heavily with very good, state-of-the-art technology that allows us to combine our intelligence, labour, policies and procedures, in order to create a better holistic approach to enterprise risk management.” Charged with creating a safe environment, MGH’s security team at the same time is challenged by the clinical team’s needs for increased efficiency through lowering length of stay and moving patients through the hospital as quickly as possible. The 24-hour Emergency Room, with its anxious, highly volatile population presents challenges of its own. In addition, patient elopement and patient wandering – unauthorised departures from the medical facility, whether intentional or unintentional – pose liability threats that can be very damaging to a hospital. Providing customer satisfaction A unified system was required to balance the video surveillance needs of a busy hospital campus A unified system was required to balance the video surveillance needs of a busy hospital campus with remote satellite locations while upholding the highest level of security possible, maintaining operational flow, and providing customer satisfaction that includes expectations of privacy. Michelman, together with MGH Senior Manager, Systems and Technology Robert Leahy, decided on the Milestone XProtect VMS platform. Camera count was increased from 400 to 1,300, and standardised with Axis network cameras connected directly to the IP network. To deal with the marked increase in video data, MGH’s team chose BriefCam Syndex Pro, a powerful set of tools intended to reduce the time and effort needed to conduct video reviews, post-event video investigation and real-time video monitoring. The BriefCam solution ties in seamlessly with the Milestone video management solution, providing efficient workflow for investigators. Presenting video metadata According to Michelman, BriefCam has already proven invaluable. A two year long ROI examination of video surveillance use at MGH has shown a progressive rise in success rates with the use of video in incident investigations. According to Michelman, BriefCam has already proven invaluable “I see BriefCam as a very important part of our toolbox of excellent practices for protecting what is a very complex environment of tangible and intangible assets,” said Michelman. BriefCam Syndex Pro’s ability to present video metadata in graphic visualisation format, such as bar graphs, pie charts and the like, has opened up new realms of possibilities to extend the role of CCTV video beyond security into organisational efficiency and more informed, data-driven decision making. Better investigative focus “In the past, there might have been things that would have been a ‘nice to do,’ but we couldn’t do it because we didn’t have resources to watch many hours of video,” said Michelman. “Now we can manage the content and we can see trends, which in turn can drive redeployment of resources, and by extension, facilitate a better investigative focus and success.” BriefCam Syndex Pro embedded within Milestone XProtect VMS platform is helping MGH in its mission to effectively and efficiently protect and safeguard the hospital community. Michelman said: “We’re happy with these products, but it’s not just about the quality of the technology, it’s about the quality of the partnership. You know, it’s easy to sell a product, but to sustain it, service it, and be there after it is in is really very critical for us.”

Being isolated on the edge of wilderness means there’s a need for a video system that’s both reliable and flexible. For that reason, the team at Jackson Hole Airport (JAC) since 2009 has relied on video management software (VMS) from Milestone Systems to enhance security, safety, and efficiency. Challenge - Help to keep scaling At the edge of the frontier, Jackson Hole Airport has experienced considerable growth over the years. Significant capital investments in expansions have made new video system integrations possible several times, and Milestone XProtect has supported the airport’s needs along the way. As of 2020, over 220 cameras were in use, and the airport shows no signs of slowing down As of 2020, over 220 cameras were in use, and the airport shows no signs of slowing down. New projects will include building a fuel farm, a car wash and expanded parking facilities. XProtect’s open platform software As the need to increase security continues, XProtect’s open platform software will continue to enable both IT team growth and the seamless integration of new cameras and data storage capabilities. Solution - Integrations are in the fly zone Milestone XProtect Professional Plus and Smart Client Network cameras from Axis Communications and Panasonic Optimised video server hardware from Razberi Integrated video analytics from Agent Vi All video is stored for up to a full year, with most of the system’s 200 cameras set for motion recording, 24/7. Result - Greater situational awareness for higher security The video system has enabled improvements throughout the entire airport. For example, Jackson Hole Airport has to contend with a great deal of plane de-icing for several months each year. This occurs at a distance from the main buildings and, thanks to the video expansion, each airline is now able to monitor the de-icing of their planes. Allowing clients to monitor progress on their own has saved airport staff time and resources. The airport uses the system to closely monitor the security checkpoint, too, capturing video documentation in case of an incident. Baggage areas are also monitored, so it’s possible to investigate lost bags and left-behind items by reviewing video. New 4K, multi-sensor cameras New 4K, multi-sensor cameras support a largely unmanned investigatory system New 4K, multi-sensor cameras support a largely unmanned investigatory system. They capture everything and provide enough data to zoom in after the fact, if needed. Additionally, the team has deployed video analytics from Agent Vi to provide a layer of automated alarms and notifications for flagging abnormal occurrences. Video analytics can detect events, such as travelers moving against the foot traffic flow and crossing into restricted areas. Milestone’s XProtect Smart Client Milestone’s XProtect Smart Client has shifted general situational awareness in the airport, as a new standard for authorising users’ remote access to the surveillance from multiple locations. It provides seamless viewing of live and recorded video, instant control of cameras and connected security devices, and a comprehensive overview of activity. The ongoing use of Milestone Systems’ video management software (VMS) makes it possible to maintain the independence and efficiency of a small team of personnel, thereby delivering maximum security at the base of the Grand Teton Mountains. Situational awareness for the JAC team and their clients Andrew Wells, the IT Manager for the Jackson Hole Airport (JAC), said “Situational awareness for our team and our clients allows us to be as secure and efficient as possible with our small team. The flexibility of the open platform VMS allows us to scale our system and add the features we need now and in the future.” Jackson Hole Airport (JAC) lies seven miles north of Jackson, Wyoming, at the base of the Teton Mountains, in USA. It is unique for being entirely within Grand Teton National Park. It is the busiest airport in the US state of Wyoming, with nearly 500,000 in-bound passengers annually. The airport covers over 500 acres and has one runway that supports 11 hard-stands, nine boarding gates and three baggage carousels.

The Commonwealth of Puerto Rico needed to implement a centralised and efficient perimeter security system for all public schools on the island. Intrusions and assaults at educational institutions have increased, and Hurricane Maria further exacerbated problems with the destruction of infrastructure. The solution: The need to repair hurricane damage also provided opportunities to invest in modern improvements. The Department of Education chose to install a video surveillance system with more than 10,000 cameras, speakers, and other security devices in 856 schools. In the same way, a centralised control centre was established using the Corporate version of Milestone Systems XProtect® video management software (VMS). Devices installed  Milestone Systems: XProtect VMS Software XProtect Smart Client Milestone Interconnect Cameras from Axis Communications and Uniview DH-Vision Seneca Servers and Optex Sensors The advantages: Audiovisual material captured by the system helps agencies to evaluate and manage areas for public use Endowed with the same annual budget that allowed the monitoring of 250 institutions, the new system enabled the Puerto Rico Department of Education to cover all 856 public schools. Since the system has been operational, there has been a 97% reduction in intrusions within educational institutions. In addition to protecting the educational programme, the audiovisual material captured by the system helps other government agencies to evaluate and manage areas for public use and investigate incidents. Need for a centralised security system Ensuring a safe environment is a growing challenge for schools and colleges: theft, fights, and bullying are some of the problems that not only affect students, but also teachers, employees, and, ultimately, the government entities that subsidize the educational system. In Puerto Rico, for example, the Department of Education was concerned about the increase in unauthorised intrusions, robberies, and assaults within its schools. This index shot up after Hurricane Maria destroyed much of the island’s infrastructure in 2017. Even before this natural phenomenon, there was no centralised security system that integrated an overview of all schools. There were disparate installations of video surveillance equipment (cameras, alarms, and lighting) but only in approximately 250 of the schools. Centralised command centre González said, the proposal was born to begin the process to acquire a video surveillance system for public schools  After the hurricane, top priority was given to providing perimeter security for all schools through an effective centralised command centre instead of investing in the repair and purchase of separate systems. “The hurricane damaged the island’s communication and lighting systems, a circumstance that promoted intrusions into schools and increased vandalism. We had no visibility of what was happening and we could not find a way to avoid these escalations,” said César González Cordero, Security Commissioner for the Puerto Rico Department of Education. He adds, “However, we could not afford to buy and repair equipment individually for all schools, so a centralised and coordinated effort was necessary.” Based on this context, González said, the proposal was born to begin the process to acquire a video surveillance system for public schools in Puerto Rico, focused on perimeter security. Perimeter security for all schools Genesis Security Services, Inc. of Puerto Rico was selected to develop the perimeter security project for the 856 public schools on the island. This Puerto Rican corporation was founded in 1997 in Yabucoa, Puerto Rico by brothers Roberto and Emilio Morales, who are leaders in security services at the government level. “We have been providing security to the Department of Education for more than 15 years through our onsite guard service. That is why we knew the design, location, assets, and vulnerabilities of various educational establishments. This was a great advantage when executing the project,” said Yasel Morales, Technology Director at Genesis. Video system Milestone XProtect video management software supports more than 8,500 security and surveillance devices In October 2018, the installation of cameras and other devices began in all schools. The video system mission control was built inside the Genesis Central Station, located in the Carolina municipality (in the island's northeast region). Video data from all schools are returned to Central Station, where it is managed with the Milestone Systems XProtect Corporate open platform VMS. Leveraging the power of the open platform, Milestone XProtect video management software supports more than 8,500 security and surveillance devices, and more than 450 software integrations from more than 3,500 technology partners. NVRs, DVRs and cloud solutions Alliance partners include providers of network video cameras, cloud solutions, DVRs and NVRs, servers and storage equipment, alarm and detection systems, video analytics, GPS technology, laser and radar scanners, boxes of emergency calls, and more. “At the Central Station, we have fifteen workstations, with the same number of operators per shift. There we have a videowall of ten monitors distributed between the stations. Likewise, we have two dispatch centers that serve as backup: one in the municipality of Yauco and the other in the municipality of San Juan,” Morales explained. Uniview DH-Vision 4-megapixel cameras, audio speakers As part of the project, approximately 10,000 Uniview DH-Vision 4-megapixel cameras were installed in 856 schools (an average of 12 cameras per campus). Audio speakers from Axis Communications and a range of Optex sensors also were integrated. The combination of these technologies made it possible for every school to have an anti-intrusions system with its alerts feeding back to the Central Station. XProtect Express+, Milestone Interconnect Milestone Interconnect connects remote sites for a low-cost video surveillance solution Each campus has a Seneca brand server with the XProtect Express+ software installed. This communicates with the Corporate version at the Central Station through Milestone Interconnect™, a licensing platform that opens a communication channel between different hardware that normally cannot communicate with each other. Milestone Interconnect connects remote sites for a low-cost video surveillance solution. It is the ideal surveillance for a wide variety of industries that want an inexpensive way to get centralised supervision of multiple locations spread across one region. Remote management and monitoring With Milestone Interconnect, engineers and managers can easily monitor critical and remote areas from one central location. This means faster intrusion management because operators in the central system can access the video and receive alarms from remotely connected sites. This reduces the need to have local security personnel, maintenance, operation, and other costs, including visits onsite. Virtual gates Genesis created virtual gates using cameras that, in addition to protecting school spaces, also ensure the safety of substations and solar panels, which are considered important assets for institutions. If someone crosses the virtual gate, an alert is generated locally and passed to the Central Station through Interconnect. Operators then make a visual confirmation and, if applicable, the emergency protocol is activated. “The emergency protocol is to contact the Security Commissioner and the Department of Operations. For this liaison, we internally designate an inspector. Once informed, they activate the security officers at the sites, who are trained to give quick responses and inform the police,” said Morales. Identifying suspicious activities Due to the management software, Genesis can easily find any recording of the schools Due to the management software, Genesis can easily find any recording of the schools and send it to the Security Commissioner, who can also receive the alerts directly through an application on his mobile phone. It should be noted that all personnel handling the system, both operators and technicians, have Milestone Systems certifications, which they obtained on the manufacturer’s website. Security Commissioner González explained that the directors and residents of the schools may contact the Central Station if they wish to report any suspicious activity within a school after regular hours. Genesis operations centre González also clarified that “if for any reason a school principal requires a recording, he must contact us, and we request the information from the Genesis operations centre. This protocol is designed to respect the right to be in a place without feeling guarded at all times, as stipulated in the public policy of Puerto Rico. In total, this system directly benefits almost 400,000 people.” Increased security at a lower cost According to the Security Commissioner, since the first camera was installed, they went from two or three intrusions per day to one or zero. Even in October 2018, they had no record of intrusions. Genesis Security Services, Inc. confirmed that since the system has been operational, there has been a 97% reduction in school intrusions. Reduced physical assaults Video technology has helped dispel theft of property by employees and has helped reduce rates of physical assault Video technology has helped dispel problems such as theft of property by employees and, more importantly, has helped reduce rates of physical assault and bullying among students. These results have helped build trust among Puerto Rican families when they enroll their children in schools. “The system provides agility and precision. It is more efficient and immediate than communicating with a guard who has to enter a facility to verify what is happening. It’s great working with a system that has visibility 24/7 in schools,” said González. Cost savings On the other hand, due to this project, it was possible to reduce the cost of security in schools using technology, one of the main objectives of the Department of Education at the beginning.  “We spent about $25 million annually covering just 250 schools with the guard system, and we had almost 600 schools left unattended. This project gave us the possibility of covering 100% of the public schools in Puerto Rico with the same budget,” González reported. Finally, it is important to note that many of these schools are located in vulnerable places on the island, so the system is also helping the Police and the Prosecutor’s Office to resolve cases that occurred around the educational facilities, and in general to contribute with the welfare of the community. Future projects On behalf of the Department of Education, the Puerto Rican Government is seeking ways to integrate this type of video analytics system with software programmes and databases of organisations that advocate for sexual assault victims. “In the future, we want to have a system that is capable of identifying if a sex offender crosses the perimeter in school zones so that we can warn in time,” said González. On the Genesis side, Morales said that the next step with this project would be to develop video analytics for the VMS, not only to give perimeter security but also statistics such as counting people and vehicles. They also plan on integrating access control systems into all schools.

The artificial intelligence revolution in physical security has arrived, transforming how we protect people, assets, and infrastructure. From smart buildings that automatically adjust access protocols based on real-time threat assessments to healthcare facilities using AI-enhanced video analytics for patient safety, these technologies are reshaping the industry landscape. But with this transformation comes a new era of regulatory oversight that security professionals must navigate carefully.  Convergence of AI The convergence of powerful AI capabilities with traditional security systems has created unprecedented opportunities for enhanced protections while simultaneously raising important questions about privacy, transparency, and responsible deployment. As these technologies become more sophisticated, security professionals face the dual challenge of maximising their potential while ensuring compliance with evolving regulatory frameworks.  The current state of AI in security systems  By combining multiple data streams, AI creates a more comprehensive and intelligent security ecosystem Today's AI-driven security solutions extend far beyond traditional security capabilities. Modern systems can understand complex human behaviours, analyse crowd patterns in transportation hubs, detect early signs of trouble in retail environments, and even predict potential security breaches before they occur. By combining multiple data streams — video feeds, access control systems, audio detection, and various sensors — AI creates a more comprehensive and intelligent security ecosystem.  Industrial applications The impact is particularly evident in integrated security operations. In healthcare settings, AI systems can simultaneously monitor patient safety, manage access control, and detect unauthorised entries, all while maintaining strict privacy protocols. In education environments, these technologies help safeguard campuses by identifying unusual behaviour patterns while respecting student privacy rights. Retail operations benefit from AI's ability to not only detect potential theft but also analyse customer flow patterns and identify operational inefficiencies.  The technology's capabilities continue to expand through: Advanced anomaly detection that establishes normal activity patterns and flags deviations.  Predictive analytics that forecast potential security risks before incidents occur.  Natural language interfaces that allow security teams to query video data using voice or text commands.  Multimodal analysis combining data from thermal cameras, LIDAR, IoT sensors, and other sources.  Integration of multiple data sources Security systems are evolving into predictive platforms that can anticipate and prevent incidents These innovations represent just the beginning of AI's potential impact on security applications. As algorithms become more sophisticated and computing power increases, security systems are evolving into predictive platforms that can anticipate and prevent incidents rather than simply respond to them. The integration of multiple data sources allows for a more nuanced understanding of security situations, enabling more precise and effective responses to potential threats.  Emerging regulatory frameworks  The rapid advancement of AI capabilities has prompted governments worldwide to develop comprehensive regulatory frameworks. The European Union has taken the lead with its AI Act, categorising AI systems based on their potential risks and establishing strict guidelines for high-risk applications.  Focus on safe, secure AI The United States is following suit, with recent executive orders focusing on safe, secure, and trustworthy AI development. These initiatives reflect growing global awareness of the need to balance technological advancement with ethical considerations and human rights protection. These regulations are reshaping how security technology providers approach development and implementation. Responsibility-by-design approach Companies must consider the entire lifecycle of their AI solutions, from initial development The focus has shifted toward a "responsibility-by-design" approach, where privacy protection, data security, and ethical considerations are built into systems from the ground up. This includes robust testing protocols, responsible data practices, and continuous monitoring of AI systems post-deployment. Companies must consider the entire lifecycle of their AI solutions, from initial development through deployment and ongoing operation.  Transparency, accountability For security professionals, this regulatory evolution means adapting to new requirements around transparency, accountability, and human oversight. Security teams must document how AI systems make decisions, implement safeguards against bias, and ensure human operators maintain final authority over critical security decisions. The regulations also emphasise the importance of data protection, requiring organisations to implement strict controls over how information is collected, stored, and used within AI-powered security systems.  Address challenges of AI The regulatory landscape continues to evolve, with new frameworks emerging that specifically address the unique challenges of AI in security applications. These include requirements for regular system audits, mandatory impact assessments for high-risk deployments, and specific guidelines for handling sensitive personal data in security contexts. Organisations must also develop clear procedures for addressing potential AI system errors or biases, ensuring that corrective measures can be implemented quickly when needed.  Preparing for the future  The challenge lies in maximising security effectiveness while maintaining transparency and public trust The security industry stands at a crucial junction where innovation meets responsibility. As AI capabilities grow more sophisticated, security professionals must balance the use of these powerful tools while adhering to evolving regulatory requirements. This balance becomes particularly critical in smart city applications, where AI systems might monitor public spaces for safety while respecting individual privacy rights. The challenge lies in maximising security effectiveness while maintaining transparency and public trust.  Proactive approach Success in this new landscape requires a proactive approach. Security teams should invest in understanding both the technical capabilities and regulatory implications of their AI systems. This includes developing clear protocols for data handling, establishing robust testing procedures, and implementing continuous monitoring systems that can detect and address potential issues before they become problems. Organisations must also create comprehensive training programs to ensure security personnel understand both the capabilities and limitations of AI-powered systems.  Human-in-the-loop approach The human element remains crucial. While AI can process vast amounts of data and identify patterns beyond human capability, security professionals must maintain oversight and final decision-making authority. This "human-in-the-loop" approach ensures that AI serves as a powerful tool for augmenting human judgment rather than replacing it. Training and education become increasingly important as security teams must understand not only how to operate AI-enhanced systems but also how to interpret their outputs and make informed decisions based on AI-generated insights.  An ever-evolving environment  The integration of emerging technologies like large language models and computer vision will create new opportunities Looking ahead, the security industry will likely see continued evolution in both AI capabilities and regulatory requirements. Future systems may incorporate more advanced predictive capabilities, enhanced natural language processing, and improved ability to understand complex human behaviours. However, these advancements will need to develop within an increasingly structured regulatory framework that prioritises privacy, transparency, and ethical use. The integration of emerging technologies like large language models and computer vision will create new opportunities while also introducing novel regulatory challenges.  Physical security transformation The transformation of physical security through AI represents both an opportunity and a responsibility. By embracing responsible innovation practices while maintaining strong ethical standards, security professionals can help shape a future where advanced AI capabilities and regulatory compliance work together to create safer, more secure environments for everyone.  Need for security guidelines The key to success lies in viewing regulatory requirements not as obstacles but as guidelines for developing more trustworthy and effective security solutions. As the industry continues to evolve, organisations that prioritise both innovation and compliance will be best positioned to leverage AI's full potential while maintaining public trust and regulatory compliance.

Rapid technological advancement, artificial intelligence (AI) and machine learning (ML) are revolutionising traditional on-premises video security systems. These next-level tools are not just enhancing video data capabilities; they're transforming how businesses approach security, operational efficiency, and information analysis. Video analytics have been a part of security systems for many years, but the arrival of deep learning in 2009 marked a turning point. By training neural networks, basic analytics tasks like motion detection, object detection, and tracking objects within scenes have become commonplace. This leap forward has paved the way for more sophisticated AI and ML applications in video security. Proactive security measures AI-powered systems can perform complex tasks such as pose estimation and anomaly detection Today's AI-powered systems can perform complex tasks such as pose estimation, anomaly detection, and behaviour analysis. These capabilities extend far beyond simple, passive monitoring, offering organisations rich insights and proactive security measures.  For instance, analytics can now determine whether people are engaged in hostile or benign interactions, recognise unusual events that may signal safety hazards, and even predict potential security breaches before they occur — all based on analysing massive amounts of data that humans alone could never process. Enhancing on-premises infrastructure While the power of AI and ML in video security is clear, integrating these technologies into existing on-premises systems presents both opportunities and challenges. One of the primary considerations is the increased demand for processing power and storage capacity. As solution technology expands, hardware requirements will increase. This reality necessitates a strategic approach to system design and implementation. Organisations must carefully evaluate their current infrastructure and plan for future needs to ensure their on-premises systems can handle the computational demands of AI and ML tools. However, the benefits often outweigh the challenges. AI-enhanced on-premises systems offer several advantages: Real-time processing: On-premises AI can analyse video feeds in real time, allowing for immediate response to security threats. Data privacy: Keeping data processing on-site can help organisations meet strict data privacy regulations and protect sensitive information. Customisation: On-premises systems allow for greater customisation of AI models to meet specific security needs. Reduced latency: Processing data locally eliminates the need for constant cloud communication, reducing latency in critical security applications. The role of open platform video technology To fully leverage AI and ML capabilities in on-premises video security systems, open-platform video management software (VMS) plays a crucial role. An open platform VMS allows for seamless integration of various AI and ML tools, cameras, and other security devices, creating a highly flexible and scalable system. An open VMS can integrate thousands of cameras and sensors, allowing for centralised management and analysis of vast amounts of data. This approach enables security teams to quickly adapt to new threats and implement new and unplanned AI and ML solutions as they become available. Video system management  The hybrid approach to video system management combines on-premises infrastructure with cloud services It's important to note that many organisations choose to deploy a hybrid approach to video system management that combines on-premises infrastructure with cloud services. This strategy can offer the best of both worlds: the control and low latency of on-premises systems with the scalability and advanced capabilities of cloud-based AI and ML tools. For example, some cities have implemented hybrid data storage models, hosting critical real-time data on local servers while leveraging cloud services for long-term storage and advanced analytics. This approach allows for efficient management of large amounts of high-resolution video data while reducing costs associated with on-premises storage expansion. Practical applications and benefits The integration of AI and ML into on-premises video security systems is transforming security practices across industries, offering benefits that extend beyond traditional surveillance. These advanced technologies enhance security measures while providing valuable insights for operational efficiency and strategic decision-making. By analysing video data in real time, AI and ML-powered systems can detect patterns and automate responses in unprecedented ways. Here are some key examples of sector-specific benefits: Retail: AI-powered analytics can optimise product placement, track shopping patterns, and enhance loss prevention efforts. Education: K-12 schools can use advanced video analysis to address issues like vaping and bullying, monitor traffic, ensure that proper procedures are followed, and provide enhanced safety and security. Manufacturing: AI can streamline quality control processes, detect safety violations, and optimise production line efficiency. Healthcare: Intelligent video systems can monitor patient safety, manage access control, and even assist in documenting and verifying that procedures and protocols are followed appropriately. Transportation: AI-enhanced video systems can improve traffic management, enhance security in transit hubs, and assist in incident response. Challenges and considerations Ensuring access to robust, diverse, and representative data sets is essential for training AI models effectively AI and ML hold great promise for on-premises video security, but organisations may encounter challenges during implementation. The considerable upfront costs could discourage smaller businesses or those with tight budgets. Nevertheless, this should be viewed as a long-term investment with significant returns in enhanced security and operational efficiency. Implementing AI-powered systems in video security can be complex, often requiring specialised skills, potentially creating a gap within existing IT or security teams. To bridge this skills gap, organisations may need to invest in training or partner with external experts to address this challenge. Additionally, the quality of data is crucial for effective AI and ML implementation; poor or insufficient data can result in inaccurate analyses and unreliable results. Ensuring access to robust, diverse, and representative data sets is essential for training AI models effectively. Benefits of integrating AI and ML Ethical considerations surrounding privacy, consent, and potential algorithmic bias are also critical. Organisations must strike a balance between enhancing security and safeguarding individual privacy rights to maintain public trust in these technologies. Despite these challenges, the benefits of integrating AI and ML into on-premises video security systems often outweigh the difficulties. Careful planning, resource investment, and a strong focus on ethical and regulatory compliance can lead to more effective, efficient, and intelligent security solutions. Future outlook Edge computing capabilities will enable sophisticated AI processing directly on cameras The future of AI and ML in on-premises video security promises significant advancements that will address current limitations and unlock new possibilities.  Edge computing capabilities will enable sophisticated AI processing directly on cameras and other security devices, reducing strain on central servers and potentially lowering hardware requirements. This, combined with more efficient AI algorithms, will democratise access to advanced AI and ML capabilities for organisations of all sizes. AI-powered analytics Predictive analytics will become a cornerstone of future video security systems, marking a shift from reactive to proactive security measures. As AI models become more sophisticated, their ability to anticipate and prevent security incidents will improve dramatically, revolutionising risk management and incident response.  The integration between video security and other business systems will deepen, with AI-powered analytics providing insights beyond security into business operations and strategic decision-making. Data for training AI models Explainable AI will become more overall, which is vital for building trust in automated systems Automation of security processes will reach new heights, freeing human operators to focus on high-level decision-making and complex situations. To support this evolution, we'll likely see increased use of synthetic data for training AI models, addressing privacy concerns, and improving model robustness. Explainable AI will become more prevalent, which is crucial for building trust in automated systems and meeting regulatory requirements. For security professionals, embracing these technologies is no longer optional but necessary to remain competitive and provide the best possible service to clients. By leveraging open platform VMS and carefully planning system architectures, organisations can create flexible, scalable, and powerful video security solutions that not only protect assets but also drive business value. Enhanced video security systems The key to success will be finding the right balance between on-premises control and cloud-based capabilities while addressing important considerations around privacy, ethics, and regulatory compliance. With thoughtful implementation and ongoing adaptation, AI and ML-enhanced video security systems will continue to play an increasingly central role in safeguarding our businesses, institutions, and communities.

As city managers, law enforcement agencies, and first responders face mounting pressure to combat crime and respond to emergencies with limited resources, real-time crime centres empowered by a new generation of data-driven technologies are emerging as an effective force multiplier.  Real-time crime centres Real-time crime centres (RTCCs) serve as centralised hubs where dedicated personnel leverage pioneering-edge technologies to analyse diverse data streams and provide critical support to law enforcement and emergency operations. These 24/7 facilities are transforming how agencies gather, process, and act upon information, enabling more proactive and efficient policing strategies.  The core functions of RTCCs  These centres provide officers with unprecedented situational awareness and real-time intelligence At their core, RTCCs are tasked with three primary objectives: enhancing safety, facilitating identification, and supporting apprehension. By integrating data from a wide range of data sources, these centres provide officers with unprecedented situational awareness and real-time intelligence.  Integrated data approach This integrated data approach allows RTCCs to alert officers to potential threats, quickly identify suspects, and guide responders during critical incidents. For instance, in the event of a robbery, RTCC operators can rapidly search camera and licence plate data to track suspect vehicles, significantly improving the chances of a swift arrest.  According to the Bureau of Justice Assistance at the U.S. Department of Justice, the mission of an RTCC is to centralise a broad range of current and evolving technologies, coordinate sworn and non-sworn human resources, and direct the attention to high-crime areas, active crimes in progress, high-profile or highly recidivistic offenders, and large-scale public events that may require law enforcement presence or response.  The technology powering RTCCs  The effectiveness of an RTCC hinges on its ability to seamlessly integrate a wide array of technologies: Open Platform Video Technology: At the heart of many crime centres is an open platform video management software (VMS) that serves as the central nervous system, unifying diverse data streams into a cohesive operational picture. By leveraging open APIs and SDKs, the VMS can incorporate a wide range of cameras, sensors, and analytics tools. This data-driven approach to video technology enables seamless alert distribution to both the RTCC and field officers via mobile applications.  IP Camera Networks: The eyes of an RTCC, these systems combine fixed, PTZ, multi-sensor, thermal, and other specialty cameras to provide continuous city monitoring. Strategically placed throughout urban areas, cameras offer comprehensive coverage of critical locations such as transportation hubs, commercial districts, and high-crime zones. This network forms the foundation for real-time monitoring and incident response.  Sensor Arrays: Beyond visual data, RTCCs employ various sensor technologies. Acoustic sensors can detect sounds such as gunshots, shouts for help, breaking glass, and other sounds instantly alerting officers and cueing nearby cameras. Environmental sensors monitor air quality for gasses, smoke, and other non-visible hazards.  Licence Plate Recognition (LPR): LPR systems act as a force multiplier, continuously scanning for vehicles of interest. By generating real-time alerts for stolen or wanted vehicles, these systems significantly enhance the ability to track suspects and recover stolen property, contributing to reduced auto theft rates.  Aerial Surveillance: Many RTCCs incorporate drone technology, providing on-demand aerial perspectives of developing situations. This capability is particularly valuable for monitoring large-scale events, assessing natural disasters, supporting operations in hard-to-reach areas, and serving as a powerful first response for crime scene situational awareness.  AI-Powered Analytics: At the heart of many RTCC operations are sophisticated AI algorithms that analyse video data in real-time. These systems can identify a range of suspicious activities, from unattended packages to unauthorised intrusions. By rapidly processing vast amounts of video data, they help operators focus on potential threats and anomalies.  Geospatial Mapping: To make sense of the influx of data, RTCCs rely on advanced mapping software. These tools visualise events, alerts, and data streams geographically, allowing operators to quickly identify patterns, clusters of activity, and relationships between incidents.  Database Integration: RTCCs maintain direct connections to various law enforcement databases, including local, state, and federal resources like the National Crime Information centre (NCIC). This integration allows for rapid background checks and threat assessments, providing crucial context for ongoing operations.  Cloud Infrastructure: The scalability and flexibility of cloud computing are revolutionising RTCC capabilities. Cloud and hybrid solutions offer secure, off-site storage and facilitate easy data sharing between agencies. This approach not only reduces initial costs but also allows for incremental upgrades, making advanced RTCC functionality accessible even to agencies with limited budgets.  Real-world impact  RTCC operators tracked shooting suspects via camera feeds, guiding officers to their location The proliferation of RTCCs across the United States with over 80 centres in operation speaks to their proven effectiveness. Cities that have implemented these high-tech command centres are reporting significant improvements in response times, clearance rates, and overall public safety.  Real-time surveillance In Winston-Salem, North Carolina, the local RTCC leverages over 1,300 live video feeds to provide real-time surveillance across the city. This extensive network, combined with gunshot detection technology and licence plate readers, has already demonstrated its value. In a recent incident, RTCC operators were able to track shooting suspects via camera feeds, guiding officers to their location for a quick apprehension.  Video analysis by RTCC Similarly, Newport News, Virginia, saw an immediate impact after launching its RTCC in 2021. The centre has played a crucial role in solving homicides caught on video and rapidly closing a series of carjacking cases.  These success stories underscore the game-changing potential of RTCCs when it comes to solving crimes and gathering evidence. In Memphis, Tennessee, video analysis by RTCC detectives helped identify a shooter in custody following an incident at a community basketball court even when no witnesses had come forward.  Identifying suspects with RTCC Officers and analysts can view street and body camera footage to monitor crowds at parades The Jackson Police Department in Mississippi has seen similar benefits since building an RTCC in 2019, part of a broader effort that included deploying 100 cameras and 271 body cams. Officers and analysts can view street and body camera footage to monitor crowds at parades and other events. During pursuits, the cameras provide extra surveillance, allowing officers to identify suspects or witnesses to help solve crimes.  Enhancing crime mitigation and emergency response  While RTCCs have proven their worth in responding to active incidents, their true potential lies in proactive crime prevention and enhanced emergency preparedness. By leveraging advanced analytics and integrated data sources, RTCCs are evolving into powerful predictive tools for law enforcement.  Pattern recognition algorithms For instance, pattern recognition algorithms can analyse historical crime data alongside real-time video feeds to identify potential hotspots for criminal activity. This allows law enforcement to strategically deploy resources, increasing visible presence in high-risk areas before crimes occur. Similarly, anomaly detection systems can alert RTCC operators to unusual behaviors or suspicious activities, enabling early intervention in potentially dangerous situations.  Asset and property protection, automated alerts RTCCs can monitor critical infrastructure, government buildings, and other high-value assets 24/7 Asset and property protection is another area where RTCCs excel. By integrating with access control systems and using AI-powered video analytics, RTCCs can monitor critical infrastructure, government buildings, and other high-value assets 24/7. Automated alerts for perimeter breaches, unauthorised access attempts, or suspicious objects left in restricted areas allow for an immediate response, significantly enhancing security postures.  Emergency response and preparedness In terms of emergency response and preparedness, RTCCs serve as vital command and coordination centres during crises. Whether facing natural disasters, major accidents, or other large-scale emergencies, RTCCs provide a centralised hub for information gathering and dissemination. Real-time video streams from affected areas, combined with data from environmental sensors and emergency service communications, allow for rapid situational assessment and coordinated response efforts.  Post-incident investigation and analysis RTCCs can also play an active role in post-incident investigation and analysis. The ability to quickly compile and analyse vast amounts of data from multiple sources can significantly accelerate case resolution and help identify patterns to prevent future incidents. As RTCCs continue to evolve, their capacity for integrating diverse data streams and leveraging advanced analytics positions them as indispensable tools in modern law enforcement strategy.   The future of technology-driven policing  The integration of artificial intelligence and machine learning promises to enhance video analytics As RTCCs continue to evolve, they are likely to incorporate even more advanced technologies. The integration of artificial intelligence and machine learning promises to enhance video analytics capabilities, enabling faster and more accurate threat detection. Additionally, the expanding use of drones, subject to FAA regulations, could provide RTCCs with cost-effective aerial surveillance options.  Effective and ethical operations However, the implementation of RTCCs is not without challenges. Agencies must navigate issues of privacy, data security, and community trust. Ongoing training for personnel and careful planning is essential to ensure these centres operate effectively and ethically.  Data-driven approach Despite these hurdles, the trend toward technology-driven policing shows no signs of slowing. RTCCs represent a shift from reactive to proactive law enforcement strategies, offering a data-driven approach to crime prevention and response. As these centres become more prevalent, they will play an increasingly vital role in helping agencies maximise their resources and make informed decisions, ultimately contributing to safer communities for all.