FRAMINGHAM, Mass. — LenelS2, a part of Carrier (NYSE: CARR), announces major enhancements to its next-generation video management platform, VRx, featuring advanced analytics based on deep learning technology.
The platform provides a unified access control and video surveillance experience when used in conjunction with LenelS2’s NetBox access control system, Magic Monitor unified client and Cumulus Cloud-based service.
LenelS2 says the VRx leverages deep learning for advanced object detection, providing users with enhanced situational awareness. The built-in deep learning takes in new video as data and uses the information to improve identification and classification algorithms over time.
VRx is said to provide the ability to detect a wide variety of objects such as backpacks, cars, trucks, people and animals, letting users quickly spot potential risks and respond accordingly. Forensic searches based on object detection make it possible to quickly locate recorded video of interest and analyze events.
“We call VRx a next-generation VMS because it goes beyond capturing and storing video to digitally analyzing it and enriching the data stream,” says John L. Moss, chief product officer, LenelS2. “Working with video as data is the defining characteristic of VRx.”
VRx also enables users to upload crowdsourced video content from their smart devices to a VRx server, creating a more robust database for forensic investigations, according to the company. The video can be viewed alongside recorded video from security cameras, providing security teams with additional information about a specific event.
VRx fits into the NetBox ecosystem, allowing the entire solution to easily scale with organizational growth. The Linux-based VRx appliance is plug-and-play and operates similarly to other NetBox ecosystem products, making it easy to set up, configure and maintain, the company says. A virtual machine option is also available.