Anomaly detection in thermal images using deep neural networks

  • Cai Lile, Li Yiqun
  • Published 2017 in
    2017 IEEE International Conference on Image…
Infrared thermography has become an effective tool in electrical preventive maintenance program due to its high precision and the capability of performing non-contact diagnostic. Anomalies in a thermal image is typically detected by comparing the temperatures of the equipment with reference temperatures. Manual detection is time-consuming and unreliable… CONTINUE READING