Contact Us
2890 Zanker Road, Suite 200, San Jose, CA – 95134
[email protected] (Inquiry)
CALL US 24/7:
+1 510 358 4310

Latest Blogs

  • Break The Connectivity Barriers with Wi-Fi 7
  • Intelligent Health Environment
  • AI-Driven Quality Engineering
  • Complete Guide to Develop a Home Automation App
  • Machine to Machine Communications
  • Safe RTOS

Deep Neural Network Model Development and Training using Machine Learning

Banner Machine Learning engineering Semiconductor

Client Overview

US based leading semiconductor manufacturer offering microcontrollers and processors for sensors, analog ICs and connectivity.

Business Need

  • The client was looking for a technology partner to help them in proving the application of newly developed chipsets for Machine Learning at edge to be launched in the market

VOLANSYS Contribution

  • Designed the handwritten digit recognition application using powerful supervised deep learning technique – Convolution Neural Network (CNN)
  • Developed Caffe model using AlexNet architecture and trained using MNIST database of 50,000 images
  • Developed script in Python to export model parameter & converted using CMSIS-NN library to deploy on edge – i.MXRT1062
  • Developed application in C on NXP i.MXRT1062 for capturing the image, pre-processing and executing deep learning model for digit classification
  • Analyzed the performance of the model by tweaking different parameters and layers of the AlexNet architecture
  • Performed testing of the model with 10,000+ images

Solution Diagram

Diagram Machine Learning engineering Semiconductor

Benefits Delivered

  • Accelerated client’s product launch timeline by 30% with hands-on experience in machine learning domain

EXT:- 229

Success Stories