iPanda
Manufacturing

Fault Detector (AI Quality Control)

AI and machine learning analyze IP-camera images and sensor data in real time to detect defective products and machine faults.

fault-detector

What is Fault Detector?

Fault Detector uses AI and machine learning to analyze images from IP cameras or sensors and machine data in real time. It detects defects and out-of-spec products, reducing human error and preventing product damage.

Key features

  1. AI-based inspection (machine learning)
  2. IP camera connection over RTSP
  3. Sensor data input to check product or machine status
  4. Results sent to a server via REST API for logging and tracking

How it works

IP camera or sensor → AI analyzes images and data → results sent to the server via REST API → alert and record

Benefits

  • Saves inspection time and resources
  • Improves safety by spotting anomalies early
  • Easy tracking and management of inspection data
  • Condition-based maintenance with early alerts