This deep learning library for embedded devices was developed by Uncanny Vision (Head Office: India).
This product is optimized for Arm NEON and makes it possible to deploy advanced deep learning technology even in embedded devices with strict resource constraints, such as ADAS (Advanced Driver Assistance Systems), machine vision, robots, surveillance cameras, and mobile apps.
• Uncanny Vision has a long and successful track record in developing algorithms for embedded devices. Uncanny Vision developed this product by using Convolutional Neural Network (CNN), a method for implementing deep learning
• Optimized for Arm NEON (for Arm Cortex-A series processors based on Arm NEON)
• Deep learning, which requires very large amounts of computational processing, can be used in embedded devices without using the GPU or cloud computing
• ADAS (Advanced Driver Assistance Systems)
• Machine vision
• Surveillance cameras
• Mobile apps