Turn your surveillance cameras into intelligent control systems
Your IP cameras generate hours of video that nobody watches. A human operator can't effectively monitor more than 4 streams simultaneously. And incidents are detected after the fact, not in real time. Machine Vision on IP Cameras analyzes every frame in real time, detects relevant events (intrusion, non-conformity, counting, anomaly) and triggers instant alerts · directly from the camera or on an edge device.
Human surveillance is expensive, partial and reactive. Basic motion detection systems generate too many false positives. Commercial smart cameras are poorly customizable and expensive. And cloud processing of real-time video is latent and bandwidth-heavy.
We deploy vision models (YOLO, Faster R-CNN) directly on an NVIDIA Jetson or Raspberry Pi connected to your IP cameras via RTSP. The model analyzes streams in real time, detects configured events (person, vehicle, product defect, missing PPE) and sends an alert with annotated capture in under 500ms. Processing stays local.
Workshop to precisely define objects, behaviors or non-conformities to detect. Collection of video examples if available.
Edge device selection based on processing load. Installation and configuration of RTSP stream connection from IP cameras.
Detection model fine-tuning on your specific scenarios. Optimization for target hardware (TensorRT, TFLite).
Pipeline deployment, alert configuration (webhook, Slack, email, SMS) with annotated captures and timestamps.
Every camera monitors permanently, without fatigue, without distraction. Important events no longer go unnoticed.
Detection and alert are instant. An intrusion, product defect or safety incident is flagged before any escalation.
Every detected event is archived with annotated capture and timestamp. Automatic visual audit for compliance and traceability.
Free 30-minute audit. We analyze your context and deliver a concrete roadmap.