KW-Pods use a multi-sensory detection system to flag divergent information, which is read by our Edge AI to identify the threat as a weapon, gunshot, fighting, fire, or more. Drift Net’s patented threat detection system is 99% accurate, allowing you to act deliberately within your security protocol.
The KW system allows for the fastest possible dispatch by sending an alert to administrators and first responders directly after a threat is detected. This alert is instant, as Edge AI uses localized computing to interpret the threat on-site, instead of the information being sent to “the cloud’ and back
KW-Pods can detect vaping and smoke without reading a visual feed, meaning they can be put in restrooms or other areas that are hotbeds for student vaping. Admins are alerted to the area where vaping has been detected.
The KnowWhere system works autonomously, meaning it doesn’t need human intervention to detect or triage threats. This allows the system to work seamlessly, 24/7, and can detect threats after hours in the dark.
KW-PODs use thermal detection to identify body temperature. The system is alerted when a body temperature rises to feverous levels, and the subject is tracked through the campus to establish contact tracing. This unique feature allows schools to mitigate the effects of a viral outbreak, along with conditions associated with heightened body temperatures, such as heat exhaustion.