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ARTIFICIAL INTELLIGENCE The goal is to help manufacturing industry bounce back powerful & efficient

Jan 11, 2021

… mentions Rajesh Iyengar, Founder & CEO, Lincode, a company with AI products that captures microscopic defects with highest precision & accuracy. In this interview with Anvita Pillai, Iyengar discusses how they help the manufacturing industry, SMAARC and more. Excerpts…

Can you tell us about Lincode? What was the idea behind starting the company?

Lincode is an AI visual inspection company, devising powerful solutions for Industry 4.0 that help in improving manufacturing efficiency, production capacity, and increases the profitability of the manufacturers globally. The idea of starting the company was conceived when I observed that in the last 10 years, despite investing in smart factories, manufacturing companies were unable to capture surface defects and struggled with quality management with traditional vision systems. So, we wanted to help manufacturers to automate visual inspection and improve overall equipment effectiveness by identifying product defects using Artificial Intelligence and deep learning. The ultimate aim is to make smart manufacturing lean and accessible.

How does the visual inspection solution offered by your company help in seamless integration on the shop floor and quality management?

The Lincode Visual Inspection System is a powerful, patent-pending Industry 4.0 solution company that leverages powerful technologies such as AI and deep learning. Our solution captures many eliminates false-positives and identifies defects faster and with greater reliability than traditional vision systems. Our products are software-based and hardware-agnostic, which enables us to quickly deploy and integrate with existing manufacturing systems or new factory environments. With the deployment of our solution, we help our clients achieve the zero PPM goal, reduction in operational costs, improved employee efficiency, and increased production capacity.

It is difficult for manufacturing industries to adapt to the work from home set-up. How can Lincode help make work from home easy & convenient for the industry?

While the world is rapidly adopting the WFH model, it indeed becomes a bit of hassle for the manufacturing sector to operate remotely, given the need for constant presence and inspection of the manufacturing process by manpower. Our solution is aptly designed for the manufacturing industry as it accurately performs autonomous inspection of the manufacturing lines and generates real-time data with actionable insights. This calls for bare minimum human intervention and the information of all the activities at the manufacturing facility can be availed from the comfort of one’s home.

Your organisation has started an ecosystem called SMAARC. Can you tell us about this consortium and the purpose of establishing it?

SMAARC is short for Smart Manufacturing, AI, AR, and Robotics Consortium. It is an ecosystem of industrial partners to promote and encourage new manufacturing technologies and innovation. It is an initiative to educate and make the manufacturers aware of the new-age, robust technologies that will scale-up their manufacturing businesses and bring sizeable ROI to them.

What are the long- and short-term goals envisioned for your organisation?

The long-term goal, I would say, is to continuously augment our R&D efforts to address the challenges faced by manufacturers by designing pragmatic and innovative solutions that make manufacturing a highly seamless and efficient process that brings in notable value to the business and goodwill of the manufacturer.

The short-term goal is to help the manufacturers scale-up their business now that we are returning to normalcy amidst the on-going pandemic. We are working towards developing technologies and solutions that help the manufacturing industry bounce back with a powerful and an efficient inspection within the established cycle time, resulting in better production capacity and enabling the manufacturer to meet the demand and quality standards effortlessly.

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