Revolutionary D-Link Security Cameras: Harnessing Edge AI for Break Glass and Intruder Detection
AI innovations are set to drive significant advancements in camera technology this year, combining powerful local processing with machine learning for enhanced on-device identification of people and objects. Today, D-Link has unveiled two state-of-the-art home security cameras that utilize edge-based AI to detect both individuals and the sound of breaking glass, ensuring that users receive prompt alerts if either is detected.
Though D-Link is not the pioneer in using AI for glass break detection — with Amazon’s Alexa Guard and ID R&D’s sonic technology paving the way — having a device capable of monitoring this frequent sign of home break-ins without relying on cloud servers is a substantial advantage. Immediate notifications could provide law enforcement with crucial extra time to prevent a burglary.
D-Link’s aim is to reduce the costs, data requirements, and delays associated with streaming video for processing in the cloud, opting instead to conduct analysis directly on the cameras. The company boasts that enhanced AI software and hardware will lead to quicker and more accurate alerts than ever before.
Users have the flexibility to store video footage through both complimentary and premium cloud services, while the cameras now feature a robust built-in microSD capacity of 256GB. They also support storage or streaming through ONVIF Profile S and personal NAS devices, complemented by reliable wired Ethernet connections for improved stability.
The indoor model priced at $100, DCS-8302LH, is equipped with a motorized panning feature providing an impressive 360-degree view of any space and automatically tracking moving subjects. It is expected to launch in the second quarter of this year. Meanwhile, the DCS-8526LH outdoor model, retailing at $120, boasts a stationary design complete with a spotlight and siren, effectively deterring potential intruders; availability is anticipated in the third quarter of 2020.
