MosChip®

Superpower your innovations with

The AI/ML Capabilities of MosChip®

Enabling Next-gen Embedded Applications with our AI Engineering & Machine Learning Solutions

MosChip Technologies is a prominent player in the semiconductor space providing solutions for more than 2 decades for clients across the globe. MosChip specializes in providing a wide range of Silicon Engineering Solutions. These solutions include Semiconductor Design solutions, offering analog, digital, and mixed-signal ASIC and IP design solutions. Additionally, MosChip excels in ASIC Solutions, providing expertise in silicon design, verification, validation, and turnkey ASIC solutions.

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AI Engineering Solutions

Propelling Intelligent Business Operations

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Tools & frameworks

MosChip®_Intell'ai'gence_Tools and Frameworks

AI/ML Edge Applications

MosChip®_Intell'AI'gence_use case_Pose Estimation

Patient care through Action recognition with pose estimation

MosChip®_Intell'AI'gence_use case_Emo Care

Emocare: face & emotion detection for patient well-being monitoring

MosChip®_Intell'AI'gence_use case_OCR

Intelligent recognition of handwritten and machine-text on tissue plates

MosChip®_Intell'AI'gence_use case_ADAS

ADAS brake alert system with distance monitoring

MosChip®_Intell'AI'gence_use case_PPE_Kit_Safety

Smart afety measures with PPE kit detection

MosChip®_Intell'AI'gence_use case_Human Counting

Human counting solution on FPGA platform

MosChip®_Intell'AI'gence_use case_Hand Gesture

Hand gesture recognition for low power FPGA devices

MosChip®_Intell'AI'gence_use case_Real-Time Vehicle_Classification

Real-time vehicle classification using ML

MosChip®_Intell'AI'gence_use case_Weapon Detection

Weapon detection via DL containerized applications

Demos/PoCs

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.
Softnautics team collaboratively developed real-time audio phrase detection using Lattice Semiconductor sensAI with a very low memory footprint and high accuracy.
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.
Softnautics 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.
The advancements in hand gesture recognition are redefining 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.

Success Stories

Success Story

Real-time Vehicle Classification Using Machine Learning

The Client is US based leading semiconductor company having expertise in high-performance and adaptive computing…

Success Story

Human Counting Solution on FPGA Platform

The Client is US based leading semiconductor company having expertise in high-performance and adaptive computing…

Success Story

Neural Network Compiler for Edge devices

The Client is US based leading semiconductor company having expertise in high-performance and adaptive computing…

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