Sprinx Technologies - Experts & Thought Leaders
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The latest in our blog series highlighting Hanwha Vision partners takes us to Sprinx, an Italian company specialising in deep learning and analytics for traffic and transportation. Here, we meet with Paola A. M. Clerici, Sprinx co-founder and VP of Sales, to talk about how advances in traffic and transport intelligence are improving the safety, efficiency, and sustainability of our cities. Hello Paola, could you tell us about Sprinx? Sprinx was founded based on a passion for research and innovation, particularly artificial intelligence (AI), deep learning, and computer vision. We are experts in providing intelligent AI video software that analyses vehicle and people mobility across cities and highways, with an in-house R&D team, SprinxLab, that’s constantly innovating and pushing the boundaries of what’s possible in intelligent traffic monitoring. Our solution solves a timely challenge for city leaders since increasing numbers of vehicles are causing congestion and putting local authorities under pressure to keep traffic moving. Being able to react quickly and anticipate potential traffic jams or incidents is critical, and this is why many organisations are becoming increasingly interested in intelligent video analytics. Tell us about your role at Sprinx? Combining video surveillance and analytics is an effective way to keep traffic moving As the VP of Sales, I oversee business strategy and management, sales, and corporate relations and have worked to define our company’s vision and mission. We aim to enhance safety and security for people when they travel, and we achieve this through cutting-edge deep-learning solutions that make mobility safer, more efficient, and more sustainable. It’s my job to collaborate with our internal experts, partners, and customers to communicate this and support public and private organisations in selecting the right solution for their needs. Combining video surveillance and analytics is an effective way to keep traffic moving, with early detection of incidents, such as broken-down vehicles or smoke in a tunnel, continuous monitoring of roads, and data that informs planning and long-term road safety. Why partner with Hanwha Vision? Can you tell us more about the relationship? Our technology is most effective when it’s part of a larger ecosystem of intelligent solutions working to improve mobility management. That’s why we have partnered with Hanwha Vision, a leader in global video surveillance. Hanwha Vision provides high-quality video footage that our analytics solution can utilise to keep traffic moving smoothly through cities. The integration of Sprinx's advanced AI technology with Hanwha Vision cameras offers a powerful and holistic solution, empowering end-users to select the architecture that perfectly aligns with their specific needs. The advantages of this integration are particularly beneficial for organisations in search of distributed architectures. The partnership began over a decade ago with Sprinx’s analytics platform and Hanwha Vision cameras combining to create a powerful solution for traffic monitoring and management. The platform uses advanced AI and deep-learning technology that helps reduce false alarms, by only alerting operators to incidents that require their attention, therefore also improving efficiency. As we’ve seen, AI is a hot topic. How is it impacting the video sector? Using AI-enabled video can improve safety, efficiency, and environmental impact on a city-wide scale Thanks to advances in AI, we’re seeing momentum in the video analysis sector, across different industries and applications. In the intelligent transportation systems sector, while traffic monitoring on roads will always remain a core function, it is also benefitting from the continued development of AI, notably deep learning that reduces false alarms and enables mobility insights collection. Smart cities are another exciting area for AI-powered traffic monitoring because of the complex mobility and safety challenges of a high-density urban area. Using AI-enabled video can improve safety, efficiency, and environmental impact on a city-wide scale. It can also aid with city planning by analysing the movement of pedestrians, vehicles, and cyclists to understand how best to manage traffic flows, as well as where to put additional routes when areas become congested. Are there any new products or solutions that you’re excited about? I have always been fascinated by how technology can serve communities and enhance people’s lives. We’re living at an unparalleled time where progress in AI, coupled with camera and sensor hardware advances, is making it possible to seamlessly integrate and analyse data from across cities to improve mobility, sustainability, and safety. For example, we recently showcased a new multi-camera tracking module that creates a more comprehensive view of an environment, including complex scenes such as intersections, tunnels, and busy urban areas. Operators can use this to better understand traffic movements and respond to emergencies. Unified data and event collection platform The user-friendly platform provides a smooth interface to display, filter, and analyse mobility alarms and insights Additionally, we introduced a unified data and event collection platform called "dragon”. This user-friendly platform provides a smooth interface to display, filter, and analyse mobility alarms and insights. It empowers us to react swiftly in case of an incident and enhances viability efficiency. Furthermore, the dragon platform seamlessly integrates video analytics with other traffic sensors and platforms, realising a truly intelligent traffic infrastructure. AI-enabled video It’s exciting to see how AI-enabled video can have a profound positive impact on our everyday lives. I firmly believe that the responsible and ethical development and management of technologies like ours can have a profound positive impact on humanity. Specifically, these advancements have the potential to greatly improve quality of life, particularly in the areas of mobility and CO2 emissions.
The city of Bologna has chosen Wisenet video surveillance cameras to help it create a smart traffic management system. Bologna is the seventh most populous city in Italy. It is at the centre of a metropolitan area of approximately one million people with a diverse range of travelling requirements within a very large area. The City has always invested in traffic control and monitoring systems with the aim to make travel easier and faster for its citizens. An example of this is a centralised traffic light management system which has been in operation since 2013 and has helped reduce travel times within the urban area. Video surveillance solution The purpose was to provide a tool to allow authorities to take strategic planning measures The City wanted to invest in a video surveillance solution which would allow the monitoring of 12 vehicle access gates to the city in order to provide authorities with reliable real-time information about urban mobility. The purpose was to provide a tool to allow authorities to take strategic planning measures and optimally redistribute the traffic load on the road network. After extensive research, which included the evaluation of a wide range of possible solutions, a decision was made to procure a total of 89 Wisenet cameras manufactured by Hanwha Techwin. The implemented solution consists of cameras dedicated to vehicle counting and classification, and ANPR cameras which have been installed on strategic gates. The cameras monitor both directions of travel to allow local authorities to study the most important and strategic vehicle access flows to the city. Detecting illegally parked vehicles This is made possible thanks to the latest generation of Wisenet cameras. By integrating high image quality and advanced video algorithms, Wisenet ‘intelligent’ cameras are able to enhance the value of video surveillance by supporting mobility and security in Smart Cities. 24 of the cameras installed are Wisenet XNO-6120R/TD bullet cameras equipped with Traffic Data 24 of the cameras installed are Wisenet XNO-6120R/TD bullet cameras equipped with Traffic Data, an edge based application developed in cooperation with Sprinx Technologies which facilitates the collection of statistical data about vehicle flow. By tracking the vehicles moving in a camera field of view, the application is able to provide information on vehicle counts, classification and average speed. 24 of the other cameras installed are Wisenet XNO-6120R/FNPs. These feature Roadway Licence Plate Recognition application which is able to help the local authority’s control room operators detect illegally parked vehicles and other traffic infringements. Built-in IR illumination Effective with all European number plate formats, the application has more than a 95% recognition accuracy whatever the environmental conditions, even when vehicles are moving at speeds of up to 150 km/h. The Wisenet XNO-6120R is a 2 megapixel bullet camera which is able to capture high definition images with the help of a 12x optical zoom, digital image stabilisation with built-in Gyro sensor, a Defog feature and built-in IR illumination. Part of the Wisenet X camera series, the XNO-6120R features the World’s best Wide Dynamic Range (WDR), which performs at up to 150dB to produce clear images from scenes that contain a challenging mix of bright and dark areas and normally result in overexposed or underexposed images. Real time automatic incident detection The Wisenet X series provides an opportunity to run on-board third-party video analytics plug-ins The processing power of the Wisenet 5 chipset incorporated into the Wisenet X series provides an opportunity to run on-board third-party video analytics plug-ins for different applications, such as number plate recognition, vehicle counting/classification and real time automatic incident detection. Completing the camera line-up are 41 Wisenet SNP-L6233RH 2 megapixel 23x IR PTZ dome cameras which have been carefully located at major road junctions throughout the city, in order to allow control room operators to zoom in to see close up detail of any incidents. Traffic management solution “We are delighted with how easy it has been to successfully integrate the Wisenet cameras with our existing video management platform and our other supervision monitoring systems,” said Alberto Nuzzo, Head of Office 'Digital Infrastructure and Telecommunications', at Comune di Bologna, when commenting on the success of the traffic management solution. “The data captured by the Traffic Data and ANPR applications running onboard the cameras, is allowing us to far better manage the existing levels of traffic, whilst also helping us capture and store valuable data which we will be able to analyse to assist us to plan for the future. Our control room operators have been particularly impressed with the exceptional clarity of the images captured by the cameras and the data analytics capabilities of the system, which are enabling them to accurately visually verify what may be occurring and quickly take appropriate action.”
The Wisenet Automatic Incident Detection (AID) solution, which has been developed as a result of Hanwha Techwin and analytics specialist Sprinx Technologies combining their expertise, has been shortlisted for an Intertraffic Amsterdam Innovation Award. Wisenet AID is one of three solutions on the shortlist for the prestigious Traffic Management category which has been announced by an international jury of transportation experts. The winner will be announced at the opening ceremony of the Intertraffic Amsterdam exhibition taking place 20-23 March 2018 at RAI Amsterdam. Wisenet AID is one of three solutions on the shortlist for the prestigious Traffic Management category Mutual technologies “We are proud that together with Hanwha Techwin we have developed a solution which has been recognised as being innovative by the World's leading traffic Industry event. This is further confirmation of the power of the combination of our mutual technologies and expertise.,” said Paola Clerici, General Manager and Commercial & Marketing Director of Sprinx Technologies s.r.l. “We have trust in our partnership with Hanwha Techwin, which is why we have decided to work only with their video surveillance products and are making every effort to promote our joint solution in the traffic management market.” The Wisenet AID solution takes full advantage of the massive processing power of the chipset incorporated into Wisenet X cameras. This allows all application functions to simultaneously operate on the edge and offers a major advantage over competitors’ camera which is only able to deliver a limited number of functions at one time. Wisenet X cameras are also equipped with a ½” Full HD image sensor which offers Hanwha Techwin technology partners, such as Sprinx Technologies, the freedom to develop innovative, practical features which provide real-world benefits to end-users. We have trust in our partnership with Hanwha Techwin, which is why we have decided to work only with their video surveillance products" 3D object recognition technology In addition, 3D object recognition technology, which is which is unique to the Wisenet AID solution, significantly negates the risk of false alarms compared to conventional 2D technology used in other cameras. Wisenet Automatic Incident Detection (AID) is an easy to deploy and highly accurate city wide incident detection solution which is designed to be affordable for budget conscious local authorities. Hanwha Techwin engineers have worked very closely with the Sprinx Technologies team to meet the expectations of traffic managers who are tasked with resolving the challenge of the ever increasing number of vehicles causing congestion within city centres and on highways and motorways. Wisenet Automatic Incident Detection (AID) is an easy to deploy and highly accurate city wide incident detection solution Traffic AID Traffic AID lets operators instantly know when traffic is slowing down and whether there is a lengthening queue. It will also detect broken down or illegally stopped vehicles and if there is a wrong way driver, a pedestrian in danger or there is smoke in a tunnel. It will even spot if some cargo has fallen off a lorry! Traffic AID utilises intelligent image processing to quickly alert operators about specific traffic related events whilst at the same time enables statistical data such as vehicle classification, counting and flow to be recorded. Traffic AID’s intuitive web user interface enables operators to specify detection zones and parameters and to analyse statistical data via easy on the eye graphics and charts. An event journal provides a log of all events and snapshots of individual incidents. Traffic AID lets operators instantly know when traffic is slowing down Affordable module options For city surveillance managers who do not require the complete Traffic AID package, there are a number of affordable module options available to help them keep traffic and pedestrians on the move. These include: Pedestrian and Stop Detection (PSD), Traffic Flow and Traffic Data, whilst the Traffic Hub server based application collects and aggregates data from multiple network connected Wisenet cameras and through its interface offers a quick overview of all traffic incidents.
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