Why Security Cameras Are Adding More Lenses: What Reolink OMVI Tells Us About the Future of CCTV For decades, most security cameras followed a simple design: ONE CAMERA → ONE LENS → ONE VIEW. Want to see more? Install another camera. Want wider coverage? Use a wider lens. Want more…

Reolink ReoNeura AI: Why Local AI May Be the Next Big Battle in Security Cameras For years, the security camera industry competed on one question: How good is the image? Then AI changed the question: How smart is the camera? Now another question may become just as important: WHERE DOES…

AI security cameras are facing a fundamental contradiction. To become smarter, AI needs access to more video data. To become more private, security systems need to reduce who can access that video data. So the industry is being pulled in two directions: AI wants more access. Privacy wants less access.…

For years, the security camera industry has competed on a familiar list of specifications: Resolution. Night vision. Field of view. Storage. Person detection. Vehicle detection. But Google Nest is pointing toward a very different competitive battlefield. With Gemini for Home, Google is increasingly turning camera footage into something users can…

For decades, the security camera had one primary job: SEE. Then cameras learned to: RECORD. Then: CONNECT. Then AI arrived. Cameras started to: UNDERSTAND. Person detection. Vehicle detection. License plates. Facial attributes. Object classification. Behavior analytics. Natural-language video search. But I think we’re now approaching another important transition. The camera…

Imagine two AI security cameras. CAMERA A 99% detection accuracy. Excellent person detection. Vehicle classification. Natural-language search. Advanced Edge AI. Beautiful demo. But… It only works properly with: One proprietary VMS. One cloud platform. One analytics ecosystem. CAMERA B Maybe its AI demo looks less impressive. But it can communicate…