- Edge or cloud? Choosing where to process in computer-vision projects Computer vision Should video be processed on site or sent to the cloud? The decision we reached from the bandwidth arithmetic, latency, data protection and three-year cost, and the exceptions to it.
- Forklift–pedestrian proximity detection: measurable safety rules in the warehouse Computer vision Measuring the distance between a forklift and a pedestrian with a camera: metres not pixels, a velocity vector not a single frame, graded warnings not an alarm. The engineering behind the rule set we built for a logistics site.
- Combining IoT and camera analytics: MQTT and an event-driven architecture IoT A camera is a sensor, the richest one. When it joins the same event bus as temperature, door contacts and PLC signals, information appears that none of them could produce alone. The event schema, MQTT topic structure and integration lessons we use in the field.
- Measuring OEE on the production line with cameras Computer vision Two of OEE's three components can be read from the PLC; the third, and the reason behind stoppages, is usually hidden in the camera. What we learned extracting machine downtime, operator presence and cycle time from video.
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