Video-Based Quality Control System
A computer vision system that scans products during manufacturing and identifies defects using AI and Machine Learning. The product provides a near real-time tracking system for monitoring the production line state.
Digital Transformation, Manufacturing
AI & ML, Back End Development, Big Data & Analytics, Cloud / DevOps, Front End Development, Internet of Things
New York, US
We were to set up hardware and software and deploy an AI-based computer vision system for real-time monitoring on the client side via remote connection. Then, we needed to test the solution and provide support documentation.
We implemented a computer vision system for real-time product manufacturing tracking and quality control. This product aimed to reduce scrap on shingle production lines through early defect detection and providing production line statuses to plant workers in real-time along with images captured on the production line.
Defining core system components
Edge application development
Creating Cloud Infrastructure
UI presentation development
Releasing the product in the development environment
Releasing the product in the production environment
About the team
We built a product-oriented, startup-in-a-garage culture within a cross-functional development team.
Manual QA Engineer
Data Science Engineer
Machine Learning Engineer
Detecting product defects at early stages in the manufacturing process led to cost savings and reduced waste.
We brought an IoT hardware kit and software product having zero experience and a small team to product release and 15+ team members within one year.
Innovative products that we have developed save hundreds of thousands of dollars annually on manufacturing improvements.