MosChip

Hand Gesture Reognition for low-power FPGA devices Use Case

The client is a manufacturer of low-power semiconductor based in United States. They solve customer problems across the network, from Edge to Cloud, in the growing communications, computing, industrial, automotive and consumer markets. With advanced technology, they enable their customers to quickly and easily unleash their innovation to create a smart, secure, and connected world. The client approached MosChip to build a custom hand gesture recognition model using neural network which will act as a reference model to build other similar applications.

  • Delivered NN based hand gesture recognition model with 91% accuracy, quick deployment, and scalability
Download the Story here

Recent Success Stories

What's Engineering here at MosChip?

Webinar

OT-IT Integration for Intelligent Manufacturing: Legacy Modernization to AI-driven Operations

How can manufacturers transform fragmented operational data into real-time intelligence...

Details
Blog

Leveraging Open-Source Edge AI Models with MosChip GenAIoT

Industrial automation and digital manufacturing are evolving rapidly as Edge AI models are reducing…

Details

Follow on Social