Deeplearning on the Edge

Deep Learning presented an excellent performance in different areas like image recognition, pattern matching, and even in cybersecurity. Deep Learning has numerous advantages including fast solving complex problems, huge automation, maximum application of unstructured data, ability to give high quality of results, and reduction of high costs.



We have demos of deep learning models working for few such use cases in traffic and cybersecurity.

  • Traffic analysis: Identifies traffic conjunctions and violations
  • User Tracking: Occupancy detection for indoor environment setups and tracking users inside the environment.