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.

Industry:

Digital Transformation, Manufacturing

Services:

AI & ML, Back End Development, Big Data & Analytics, Cloud / DevOps, Front End Development, Internet of Things

Location:

New York, US

01

Challenge

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.

02

Solution

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.

Video-based quality control scheme
03

Technologies Used

To successfully implement the computer vision system for real-time product manufacturing tracking and quality control, we utilized a robust technology stack that incorporated a variety of cutting-edge technologies.

Video-Based Quality Control System
04

The workflow

01

Defining core system components

02

Hardware development

03

Edge application development

04

Creating Cloud Infrastructure

05

UI presentation development

06

Releasing the product in the development environment

07

Testing

08

Releasing the product in the production environment

05

About the team

We built a product-oriented, startup-in-a-garage culture within a cross-functional development team.

Team composition

  • Team Lead/Architect

    1

  • Full-Stack Engineers

    3

  • Manual QA Engineer

    1

  • Data Science Engineer

    1

  • Machine Learning Engineer

    1

  • Embedded Engineer

    1

  • Product Manager

    1

06

Impact

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.

Let’s create together!
Get in touch with us
07