- Category
- Support and customer service
- Model
- open, installed on your premises
- Data
- never leaves
- Subscription
- €0 per month
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 object detection models 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.
Live in four steps.
- 01Detection event definition
Workshop to precisely define objects, behaviors or non-conformities to detect. Collection of video examples if available.
- 02Hardware selection & configuration
Edge device selection based on processing load. Installation and configuration of RTSP stream connection from IP cameras.
- 03Model training & optimization
Detection model fine-tuning on your specific scenarios. Optimization for target hardware (TensorRT, TFLite).
- 04Deployment & alert system
Pipeline deployment, alert configuration (webhook, Slack, email, SMS) with annotated captures and timestamps.
Results you can measure.
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.
What we get asked before signing.
Which IP camera brands are supported?
Can behaviors be detected (fall, fight, PPE)?
Can local processing handle multiple cameras simultaneously?
Is video data stored?
Let's talk about your case for thirty minutes.
A conversation to understand your context, volumes and tools. You leave with a scope and an order of magnitude, no commitment.