We built a Face detection and recognition model using OpenCV to identity and recognize OptiSol employees. A demo of this application is here

We are currently building an object detection and recognition model using deep learning Convolutional Neural Networks (CNNs) using TensorFlow. Such models have more flexibility and accuracy than traditional models. These models can be trained for gesture recognition that extends the use cases tremendously. A sample prototype is here

Computer Vision models like these have multitude of applications in surveillance, public and industrial safety and other industries. Some of the use cases are

  • Hand hygiene compliance monitoring in Hospitals
  • Space analytics and surveillance for retail outlets to optimize product display and prevent theft
  • Public safety monitoring like helmet wearing for motorcycle riders
  • Industrial safety monitoring by detecting non-compliant activities or gestures