MosChip® Technologies

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Engage Engineering
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Engage

FUTURE-READY
PoCs/DEMOS

Demos for all your Ideas & thoughts.

Face Mask Detection

Face Mask Detection system based on computer vision and deep learning approach. It uses a visible stream from the camera combined with AI techniques to detect and can be integrated with the surveillance setup.

Key Phrase Detection

MosChip team collaboratively developed real-time audio phrase detection using Lattice Semiconductor sensAI with a very low memory footprint and high accuracy.

Wireless Sensor Network

A simulation framework for simulating the behaviors of Wireless Sensor Network (WSN). This demo covers Home Automation applications that work on Zigbee, Bluetooth, 6LoWPAN, and Wi-Fi technologies.

Vehicle Classification in Real-Time

MosChip developed software for Lattice which identifies vehicles and classifies them as heavy, light, and two-wheel. The inferencing is done using Convolutional Neural Networks implemented in the Embedded Vision Development Kit’s ECP5 FPGA. Power consumption is less than 1W.

Hand Gesture Recognition

The advancements in hand gesture recognition are redefining the human-computer interaction and making many wonderful use cases possible. This demo presents a fast, reliable, and robust method for hand gesture recognition that is developed on PC and fully validated on the Qualcomm Snapdragon Platform having ARM DSP core.