Solutions
Ensure

Quality

Use our deep learning algorithms to detect quality defects like surface scracth, colour change, black dots, missing pattern etc. and deliver robust product to your customer.

Forecast

Semantic Segmentation

Use our deep learning algorithms for pixel wise classification of object and work environment for robust and safe AI.


Forecast

Safety

Enhance your safety and securty by deploying our deep learning algorithm to monitor safety practices, motion in prohobited areas etc.




Computer Vision - 2

Automation

Built an end to end robotics system using our vision system for your production processes.



Analytics Platform

Consumer Behaviour

Use our deep learning algorithm to understand consumer behaviour through their facial and body expressions.


Analytics Platform

Synthetic Data

Use Syntetic data to train your deep learning models and reduce the cost of data acquisition and project deployment. We partner you to create synthetic data for most challenging applications.

Core Team

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Manish Choudhary

Founder

Manish Choudhary

Manish has 7 years of experience across different industries where he has handled frontend sales, supply chain, business planning and analytics. He is Gold Medalist from Indian School of Business (ISB), Hyderabad (2015-16) in Supply Chain and Manufacturing.

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Pragya Pandey

Co-Founder

Pragya Pandey

Pragya bring with her 9+ years of experience in the field of Project management, Tendering & Business process improvement. She worked for Major Multinationals like Areva, Schneider Electric. She is an electrical engineer & certified business analytics professional.

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Vikram Jethmal

Product Manager

Vikram Jethmal

Vikram has 9+ years of experience in the field of Software development, Vikram brings his experience from both start-up & multi-national software companies. He is a Computer Science engineer & also holds master's degree in Software Technologies.

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Girish Nair

Product Manager

Girish Nair

Girish has over 7 years of experience in the field of information technology and information security. He handled the production support and development teams for a major general insurance company based out of UK. He has also assisted several companies in Banking and Financial services sector to enhance their information security procceses.

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Shivam Singh

Product Manager

Shivam Singh

Shivam has 4+ years of experience in the field of Software development, Shivam brings his experience from both service & product based IT companies. He holds master's degree in Computer Science from IIT Roorkee.

Advisory Board
John

Dr. Ashok Mittal

Retired Professor IIT Kanpur

President Quality Circle Forum of India

John

Subodha Kumar

Paul R. Anderson Distinguished Professor of Supply Chain, Marketing, IS, Statistics, Director, Center for Data

John

Naga Prakasam

Mentor NSRCEL IIMB







Business Cases
Deep Learning for Quality Inspection in Wire Manufacturing


The customer produces CTC wire as per their customer need. There are 3 variables that changes with each order and production ...
1. Pitch Length of CTC
2. Total CTC Length
3. Total No. of Transpositions
Challenge in Current Process:
1. Manual Error in CTC counts during continuous production.
2. High Production time due to manual stoppage while quality inspection to give breather to inspection person.
3. Pitch length measurement were not done completely and was done on sample basis which resulted in customer rejection.
4. Wastage of copper in case of rejection.

We discussed and analysed customer required and developed a vision system for quality inspection using deep learning algorithm. The developed solution enabled client to have 100% inspection instead of sample base inspection which resulted on only reaching high quality product to their customer. The algorithm did full inspection with 98% accuracy which resulting in substantial saving by eliminating copper wastage that was happening earlier due to defect detection at later stages.


Artificial Intelligence for Inventory Accounting


One of the major Metal Recycler in India was facing a problem of accurate inventory accounting of their scraps. ...As a business process they used to receive mix scrap which was a combination 24-25 types of scrap.
The metal scrap is received as mix scrap which is sorted, stored and account as different types of scraps. The price of mix scrap depends on proportion of different scrap content it has. Higher component costs more else it cost less.
After sorting – classification was done manually by an expert.
The problem with the process:
1. Wrong classification by person specially during night shift leads to wrong value accounting of scrap.
2. Malicious attempt to classify inferior scrap to high quality scrap.
We took this challenging task and developed a computer vision system using deep learning algorithm to classify scrap based on their surface texture. The surface texture each time was changing but the building blocks of scrap remained same. The developed took around 8-9 month because of challenges of data collection but we were able to achieve 90% accuracy resulting in substantial cost saving for client.

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Insightzz,MLIT-18 Technology Pvt Ltd,
      6th Floor, Ackruti Trade Centre MIDC
      Andheri(East)Mumbai-400093,India
Phone: 022-30567601
Email: sales@insightzz.com

Branch: Mumbai, Delhi,Bangalore