Interface Systems, a globally renowned managed service provider, delivering business security, managed network, UCaaS, and business intelligence solutions to distributed enterprises, has announced that WKS Restaurant Group, one of the fastest growing multi-brand restaurant franchisees in the US is deploying Interface’s Virtual Guard interactive remote video monitoring solutions across its major restaurant brands, including El Pollo Loco, Wendy’s, Denny’s, Krispy Kreme Doughnuts, and Blaze Pizza.
By implementing virtual guard services, WKS Restaurant Group will offer better security for its employees and customers, while reducing the cost of securing its restaurants by 85%.
Virtual Guard Services
WKS had previously implemented Interface’s video verified alarm services to reduce false alarm
WKS had previously implemented Interface’s video verified alarm services to reduce false alarms, and the Virtual Guard services seamlessly upgrade security coverage, while leveraging the investments already made by the company.
The Virtual Guard Services include upgraded security cameras, network video recorders (NVRs), speakers, microphones, and discreetly installed panic buttons or wearable pendants that allow Interface’s remote intervention specialists to see, hear and respond to security threats in real-time.
Assess the situation in real time
Interface Systems’ intervention specialists can assess the situation in real time and can either make a voice down to warn threat actors to leave the property or call law enforcement.
Interface Systems’ Virtual Guard Services have a wide variety of applications, such as:
- Virtual tours with voice downs - Remote intervention specialists operating from Interface’s five-diamond-rated Command and Control Centres perform a comprehensive virtual walkthrough of the restaurant, in order to check for potential threats and safety gaps, such as open exit doors, loiterers, and trespassers. Each virtual walkthrough can be combined with interactive voice-downs to check in with employees.
- Opening and closing escorts - Every time restaurant employees open or close the restaurant, they now have additional security coverage. Before walking into the restaurant, employees can call Interface’s Command and Control Centre and ask for a check on the premises, in order to make sure everything is in order. Similarly, employees leaving the restaurant can ask for a safety check-in and around the exit doors and parking lot.
Enhancing safety of the employees and customers
“WKS runs a people business, and ensuring the safety of our employees and customers is our number one priority,” said Christopher Magana, Director of Risk Management, WKS Restaurant Group, adding “With Interface, we are now able to protect our employees with the best technology has to offer and give them the confidence to do their jobs at any of our locations.”
He continues, “I see Interface as a partner who is central to our growth strategy. As we expand operations rapidly, we will rely on Interface to deliver cutting-edge physical security solutions and lower our operating complexity and costs.”
- Network / IP
- Remote surveillance
- Mass surveillance
- Digital video surveillance
- Remote video surveillance
- IP video surveillance
- Application security
- Remote security
- Commercial security
- Perimeter security
- Security management
- Security devices
- Security installation
- Security cameras
- Covert cameras
- Security camera systems
- Network monitoring
- Asset tracking
- Remote video monitoring
- Building security
- Facility security
- Institute security
- Wireless security
- Network cameras
- Security software
- IP Surveillance
- Security service
- Mobile surveillance
- Outdoor video surveillance
- Physical Security Information Management (PSIM)
- IP security solutions
- Covert Surveillance
- Security communication
- Integration software
- Perimeter protection
- Mobile communications
- Internet of Things (IoT)
- Crowd Management
- Network Video Recorders
- Warning Devices
- Incident Management
- Security Assessments
- Artificial intelligence (AI)
- Video surveillance
- Machine Learning
