Computer Vision

ENAP Use Cases

Optimize object detection models or enhance performance of AI models on Edge

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Build optimized and efficient Computer Vision Models

Deploy Deep Neural Networks on resource constrained, low-power and cost-effective hardware as well as manage models without compromising on performance.
Gain actionable insights for real time decisions from images and videos.


Identify the “class” of a given image or an object in an image from thousands of classes like a person, car, cat, etc.

Object Detection

Determine the objects present in an image or video; supports multiple Object Detection models like RCNN, YOLO, etc.


Semantic Segmentation and Instance Segmentation models to perform pixel-wise classification in any image EDGE-AI Platform (ENAP)

Train, optimize, quantise and deploy edge AI neural networks