AI-Based Visual Inspection: Enhancing The Automotive Industry

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Artificial intelligence (AI) is an evolving technology that is still growing, but it is undoubtedly getting better. 

For all we know, factories might not even need lights 20 years later, because most of them will be operated by AI. We see a lot of R&D happening within the AI framework, giving good results. Besides, we see newer frameworks coming in. 

AI-based visual inspection, too, has been growing by leaps and bounds, reshaping automotive inspection. It helps examine detailed defects in vehicles, providing automotive OEMs the opportunity for accuracy and cost-savings. 

One such company focusing on AI-based visual inspection is Lincode Labs, whose AI-backed visual inspection solution, Lincode Visual Inspection System (LIVIS), is its current focus. The company was started with complete research and understanding of the top challenges that manufacturers globally face. After interviewing close to 100 customers, 86 percent of them said that quality inspection happens to be their biggest challenge.

“We were intrigued by this and went to various quality inspection people and identified the technology they were using,” says Rajesh Iyengar, Founder and CEO, Lincode Labs, and goes on, “We went on to find out that the technology hasn’t changed for two decades and there were a lot of false calls in it. That’s when Lincode stepped in and built a product around specific challenges focused on the automotive industry.”

Automotive OEMs, too, look at specifically reducing these false calls and improving productivity, which Lincode has helped solve through its AI-backed visual inspection solution. “The industry standards were 150 to 200 false calls per million inspections. So, in our case, we are doing it in zero to four parts per million,” Iyengar cites.  

Iyengar further reveals that due to this, 80 percent of their customers are repeat orders. “That’s because they are completely happy with the inspection process and the way the inspection is automated,” he mentions.  

LIVIS
Traditional vision systems cannot catch up with AI, as Iyengar says. He avers, “LIVIS stands out because we have built it as a platform. The scalability becomes easier if you’re going to deploy it across multiple factories and locations. But also, the foremost important thing is that it is completely made as a product. Thus, AI is commoditised. With the LIVIS platform, we can bring the cost and time to deployment down.” 

Lincode’s role in the automotive industry
What’s interesting is that even if Lincode caters to the manufacturing industry as a whole, it first addressed the automotive industry. The company researched the market size of various manufacturing companies and the automotive industry took the top spot, with close to USD 542 billion of global value.  

“We started with the automotive industry but pivoted later,” Iyengar tells us and continues, “So, instead of looking at just the automotive or any other industry, we turned our attention to steel, metal, plastic, glass etc. We basically went to the surface and saw how steel and metal are produced today. Whether it’s a CNC machining or forging or casting process, these are major processes used for any industry across the globe involving steel and metal. We understood that steel and metal are dealt with in the same way globally. Therefore, it made sense to go to the surface and into these kinds of defects specifically, and then generalise that and start building a model towards it. This, plus making AI as a product, has made deployment easier across the globe.” 

R&D centre in Bengaluru
Lincode recently opened a new R&D centre in Bengaluru, which also has a significant role to play in deploying the company’s solution across the world.

Stressing on the fact that evolving models are important in AI, Iyengar states, “It’s a continuous process; it’s not that you just build a model and you’re set. We have a big roadmap in the product development, and the Bengaluru R&D centre is going to play a major role in that. We are going to conduct deep research with various data collected across the globe and do various testing with that.” 

Staying ahead
What’s more, Lincode recently closed a funding round in December last year. Catering to a constantly evolving industry like the automotive, Lincode, too, strives to make sure that its visual inspection solution stays ahead and is put to use. “There are about more than 600 parts in a car and each part is segregated – like the structure, wiring, engine components etc.,” Iyengar shares and continues, “These segregations are made so that we can target the sector of the product. For example, when it comes to engine blocks, there is a specific model with a huge data set around engine blocks. This is how we stay ahead of competition.” Iyengar also adds that their trials with various use cases made them understand that inspection alone is not important but also the way the inspection is done. 

Essential skill sets for AI vision systems
Leveraging AI-based visual inspection solutions in the automotive industry is bound to increase productivity, and the cost of labour will also come down because of automation. “Today, most manufacturers use secondary inspection, which can be cut off straight away. This will improve their productivity and also reduce the risk of delays,” Iyengar enlightens. 

Moreover, AI vision systems come with their share of essential skill sets to bring out the best in the automotive industry. Iyengar states that, in general, skilling is required for the factory people. “This could be at various levels,” he puts across and adds, “It could be for the operators, the IT administrator or even the software development team. Hence, deep training is required, which can be somewhat cumbersome because it could be a bit challenging for the operator. So, an IT person might be needed in order to help the operator every time there is a downtime.” 

Covid-19 and AI-backed visual inspection
Such training or skills could certainly come in handy, because Iyengar claims that the need for AI-backed visual inspection solutions in the automotive industry has increased since the Covid-19 pandemic. “Unplanned shutdowns happened during Covid, because of which employees could not report and manufacturing could not continue properly,” he responds and adds, “Hence, a lot of investments are happening because of this. In fact, even now, a lot of employees are still not reporting and the labour problem has become global. It has become tough to get skilled workers. This has led to the adoption of autonomous manufacturing for automotives, where AI is going to play a big role.”

Meeting industry requirements
For an industry that is an economic force globally, AI-based visual inspection is certainly meeting the high-quality requirements of the customers of the automotive sector. Plus, we already see companies like Volvo using the technology. Safety surpasses any requirement, and this requirement can be fulfilled if quality is top-notch. And quality will be at its best if automotive manufacturers can perform production quality inspections in the most efficient way. (MT)

Toyota Joins Daimler Truck And Volvo Group For Equal Shareholding In Cellcentric

Daimler - Toyota - Volvo Group - Cellcentric

Daimler Truck, the Volvo Group, Cellcentric, and Toyota Motor Corporation have signed a binding agreement for Toyota to join Cellcentric as an equal partner and shareholder. Under the terms of the deal, each owner will hold a one-third stake in the joint venture.

The binding contract follows a non-binding agreement signed in March. Completion of the transaction is expected by the end-2026 or early-2027 and remains subject to regulatory approvals.

Through the partnership, the companies intend to expand Cellcentric’s technological lead, industrial scale and competitiveness in fuel cell systems for heavy-duty commercial applications. The partners also plan to work with industry associations and entities across the hydrogen value chain to support hydrogen supply and infrastructure development.

Cellcentric will continue to operate as an independent company, supplying heavy-duty on-road and off-road transport, as well as applications such as coaches, stationary power generation, rail and heavy off-highway equipment.

Daimler Truck, the Volvo Group and Toyota Motor Corporation will continue to compete independently across all other business areas.

InfiMotion Launches Geely 16-in-1 Intelligent Electric Drive System

Geely - InfiMotion

InfiMotion hosted the launch event for the Geely 16-in-1 intelligent electric drive system at its headquarters in Wuxi on July 16. The electric drive system is scheduled for debut in the Geely Galaxy TT series.

The company operates research and development (R&D) centres in Wuxi, Shanghai, Ningbo, Hangzhou and Gothenburg, supported by a testing facility featuring a 30,000 rpm motor test bench and five production bases in China. InfiMotion supplies electric drive solutions to automotive brands including Geely, Volvo and Jaguar Land Rover.

Joe, CEO of InfiMotion, highlighted InfiMotion’s global R&D footprint spanning Wuxi, Shanghai, Ningbo, Hangzhou and Gothenburg, Sweden. More than 1,000 engineers, including over 100 specialists in Sweden, work collaboratively through a cloud‑based development platform, enabling synchronised hardware, software and algorithm development across continents.

“Global collaboration is not simply about working across different locations – it is about moving at the same pace. Our development process is built around real‑world global driving conditions, from sustained high‑speed operation on Germany’s unrestricted highways, to sub‑zero cold starts in the Nordic region, and continuous high‑load performance in Southeast Asia’s hot and humid climate,” said Joe. 

Epson Intros Expanded Robotics Portfolio At Automation Expo Mumbai 2026

Epson Intros Expanded Robotics Portfolio At Automation Expo Mumbai 2026

Epson, a global leader in SCARA robot manufacturing, has unveiled its next-generation industrial robotics portfolio at Automation Expo Mumbai 2026. The newly introduced lineup features the high-end CX-A Series 6-axis robots, the LS-C Series SCARA robots, the RC+ 8.0 programming software and the advanced SafeSense safety technology, all designed to address diverse manufacturing applications such as pick-and-place, precision assembly, parts transfer and material handling.

The new offerings significantly expand Epson’s existing industrial robotics family, which already includes the 6-axis C-Series and SCARA T-Series and LS-Series models with payloads ranging from 3 to 20 kilogrammes. With the addition of the CX-A and LS-C Series, manufacturers across various sectors can achieve heightened productivity, flexibility and operational efficiency. The CX-A Series is engineered for complex tasks with a payload capacity of up to seven kilogrammes and a reach of 900 millimetres, available in IP67, cleanroom and ESD variants, while the LS-C Series provides a compact SCARA platform with a 50-kilogramme payload, a 1,000-millimetre reach and cycle times as fast as 0.298 seconds.

Complementing the hardware, the RC+ 8.0 software offers an integrated environment for programming, simulation and system management, facilitating faster automation deployment with support for Visual Studio and C++ development. Additional efficiency features include enhanced diagnostics, OPC UA, GUI builder and safety functions, alongside co-creation tools like Library Builder and RC+ Extension. Meanwhile, the SafeSense technology promotes safer human-robot collaboration by incorporating Safety Limited Speed and Safety Limited Position functions, which can potentially reduce the need for extensive safety fencing and thereby increase operational flexibility.

With over four decades of industrial robotics expertise and more than 200,000 robotic arms deployed globally, Epson continues to drive operational excellence for businesses. Attendees at Automation Expo Mumbai 2026 have the opportunity to view live demonstrations of these solutions and consult with Epson specialists about transforming their manufacturing operations.

Siva Kumar, Sr General Manager – Sales and Marketing, Epson India, said, "India is rapidly emerging as a global manufacturing hub, and automation will play a pivotal role in shaping its future. With our new industrial robot lineup and RC+ 8.0 platform, Epson is delivering the speed, precision and intelligence manufacturers need to compete in an increasingly dynamic marketplace. We remain committed to enabling businesses to accelerate automation adoption and build smarter, more agile and globally competitive manufacturing operations."

Hyundai Motor India Foundation Launches Samarth UnnATi Start-Up Programme

Hyundai India Foundation

The Hyundai Motor India Foundation, the corporate social responsibility (CSR) arm of Hyundai Motor India, has launched Samarth UnnATi in association with the AssisTech Foundation in Gurugram.

The initiative provides grant support of INR 7.5 million to assist startups developing assistive technology solutions for persons with disabilities. It focuses on capacity building, mentorship, investor linkages and market access.

Gopalakrishnan C S, Trustee, Hyundai Motor India Foundation, said, “At Hyundai, we believe that accessibility and innovation are powerful enablers of inclusion and progress. Through ‘Samarth by Hyundai’, we are committed to creating opportunities that empower persons with disabilities to participate more independently and confidently in society. The Samarth UnnATi – AT start-up scaleup program is an important step towards strengthening Assistive Technology ecosystem by supporting innovators who are developing impactful solutions to address real-world accessibility challenges. Through our partnership with AssisTech Foundation, we aim to accelerate the adoption of assistive technologies and help build a more inclusive society.”

Prateek Madhav, CEO and Co-Founder, AssisTech Foundation (ATF), said, “By 2050, the need for assistive products in the global population is estimated to increase to 3.5 billion (UNICEF Global Report on Assistive Technology). To reach this breadth, innovation cannot be a standalone phenomenon. It must be nurtured, deployed at scale and reach the people who need it the most. Samarth UnnATi is the engine that drives this, bringing together these largely disparate efforts toward a more cohesive approach.”