Client storyEdge AI

Industrial Safety and Anomaly Detection on a Rockchip Board, With No Server

An industrial client needed safety monitoring and abnormal-event detection on the shop floor, but could not depend on a server or the cloud. I built the full pipeline to run on a single Rockchip board.

0servers required
< 1 s~alert latency on device
24/7runs on the shop floor
Client
Industrial manufacturer (under NDA)
Platform
Rockchip NPU single-board computer
Goal
Safety alerts and anomaly detection on-site
Constraint
No server, no cloud dependency

The problem

The client wanted to detect unsafe situations and abnormal machine behaviour on their production floor. Their IT policy did not allow video or sensor data to leave the site, and they did not want to run and maintain a server for it. Everything had to happen on one small device next to the line.

How I solved it

  1. Vision on the NPU

    Camera frames go through hardware-accelerated capture and resize into a detection model on the Rockchip NPU, which flags safety events such as people entering restricted zones.

  2. Anomaly detection on sensor data

    Machine signals feed a lightweight model that learns normal behaviour and flags anything unusual, instead of relying on fixed thresholds.

  3. Local rules and alerts

    A rule engine combines both signals and triggers alarms, relay outputs and on-screen alerts locally.

  4. Local storage and dashboard

    Events, short clips and trends are stored on the device and shown on a local web dashboard.

  5. Built for 24/7

    Watchdogs, read-only root file system, log rotation and automatic recovery after power loss.

What the client got

Results

  • Safety alerts in under a second, entirely on the device.
  • Anomaly detection that adapts to each machine.
  • No server, no cloud and no data leaving the factory.
  • A system the plant team can run without specialist IT support.
Related guideAnomaly Detection on the Edge: Monitoring Machines and Safety Without a Cloud Server
Nikhil Robinson

Embedded systems consultant at TechProgeny, Bengaluru. 7+ years and 29+ shipped products across firmware, embedded Linux, edge AI, apps and IoT servers.