Machine vision based industrial inspection system for quality assurance.

About Us

Who We Are

We are a team of qualified and skilled professionals working on Computer Vision technology.

Console is a machine vision based industrial inspection system for quality assurance. Our aim is to automate the industrial inspection processes using computer vision technologies to maximize output, improve cost-efficiency, and generate tangible competitive value in all over Pakistan.

Insdustrial Inspection Cycle

1. Camera Calibration

Illumination and Camera calibration according to the product size for inspection.

2. Data Aquisition

Multiple images will be captured via industrial cameras for processing

3. Data Processing

Machine learning and AI algorithms will apply on the Acquired images

4. Defect Detection

Developed inspection algorithms will identify bottle defects with high accuracy

5. Dashboarding

Visualization of complete inspection process


Bottle Inspection

Detect bottle dents, scuff and dirt material.

Cap Inspection

Detect loose caps ,scuffed caps and cocked cap.

Label Inspection

Detect print defects ,torn, bubbled ,scuffed and label skew

Serial Inspection

Read the Batch or serial number of the product



Project Showcasing

Console has participated in the following exhibitions

  1. Research and Technology showcase-2022 held on 19-20 May 2022 at Karachi Expo Centre organized by Sindh HEC. View Gallery

  2. Electrical and Elecronics Industrial Exhibition and Seminar-IEEEP fair 2022 held on 30-31 August 2022 at Karachi Expo Centre. View Gallery

Our Team

Dr Majida Kazmi

Principal Investigator

Dr. Saad Ahmed Qazi

Co-Principal Investigator

Dr Hashim Raza

Co-Principal Investigator

Engr. Basra Hafeez

Research Assistant

Engr. Jamal Shahid

Research Assistant

Engr. Mohammad Abdur Rehman

Project Advisor


Academic Partner

NED University

Neuro Computational Lab

Industrial Partner

Procter & Gamble

Commercial Partner

FS technology

Funded By




Neurocomputation Lab, NCAI Computer and Information Systems Department NED University of Engineering & Technology University Road, 75270, Karachi.

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