📄 中文摘要
大多数 CCTV 摄像头仅仅进行录像，而不具备理解能力。设想如果它们能够在危险发生之前进行识别，将会如何改变安全监控的局面。在办公室、工厂、学校和零售店等场所，摄像头始终在监视，但实时分析几乎没有。事件发生后才回顾录像，安全团队常常面临信息过载，真正的危险往往被忽视。在“视觉可能性黑客马拉松”中，构建了哨兵 AI——一个由视觉代理驱动的实时多模态监控智能系统。该系统不仅仅是物体检测和警报，而是具备推理能力，旨在提升监控的智能化水平，解决传统 CCTV 系统所带来的安全假象问题。
当 CCTV 摄像头能够思考时会发生什么？构建具有视觉代理的哨兵 AI
📄 English Summary
What Happens When CCTV Cameras Can Think? Building Sentinel AI with Vision Agents
Most CCTV cameras merely record without understanding. The potential for these cameras to detect risks before they escalate could revolutionize security monitoring. In various environments like offices, factories, schools, and retail stores, cameras are constantly observing, yet real-time analysis is almost nonexistent. Footage is reviewed post-incident, leading to overwhelmed security teams and unnoticed threats. During the Vision Possible Hackathon, Sentinel AI was developed—a real-time, multimodal surveillance intelligence system powered by Vision Agents. This system goes beyond mere object detection and alerts; it incorporates reasoning capabilities, aiming to enhance the intelligence of monitoring systems and address the false sense of security created by traditional CCTV systems.