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)

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Hyundai Mobis has established an integrated data management and validation system designed to test electronic control units (ECUs) for software-defined vehicles (SDVs) and autonomous driving.

The platform links real-world road test data with simulators to replicate driving scenarios, addressing the requirement from global carmakers for data-based validation results spanning tens of thousands of hours.

The system utilises a platform that connects multiple simulators in parallel to reflect various validation scenarios.

Hyundai Mobis intends to expand this infrastructure to link up to 60 simulators, which would allow the company to complete 10,000 hours of evaluation within a one-week period. This process typically requires several years of physical test driving under standard real-world conditions.

By integrating sensors mounted on test vehicles, the system collects data from diverse driving and parking environments. It can replicate specific conditions that are difficult to reproduce consistently in reality, such as nighttime driving, heavy rain and unexpected road incidents, by combining them with virtual simulations.

This approach is intended to assess the recognition performance and stability of radar, cameras, LiDAR and ultrasonic sensors.

Hyundai Mobis will use this system to validate algorithms for autonomous driving sensors and various ECUs as part of its strategy to acquire global orders for SDV components. The company plans to enhance the system through data integration and collaboration with its research hubs worldwide.

Ko Bongchul, Chief of Automotive Electronics R&D at Hyundai Mobis, said, “In the era of SDVs and autonomous driving, evaluation and validation are just as critical as technology development. We expect that establishing this evaluation and validation system will simultaneously expand the speed and scope of validation, thereby significantly boosting our competitiveness in securing orders for core SDV components.”

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TomTom, the location technology specialist, has announced the appointment of Mike Schoofs as Chief Executive Officer and a member of the Management Board. The decision was formalised following approval by shareholders at the company’s Annual General Meeting (AGM). The AGM also confirmed the appointment of Co-founder and former CEO Harold Goddijn to the Supervisory Board, alongside Joep van Beurden, while Derk Haank was reappointed as a member.

Schoofs joined TomTom in 2005 after holding positions at KPN-Orange and Samsung. During his tenure, he has served in various commercial leadership roles globally and within specific regions. In 2023, he assumed the role of Chief Revenue Officer, where he managed the company’s commercial strategy and expanded its enterprise business footprint. A Belgian national based in Amsterdam, Schoofs also serves as an advisor to several European startups.

The leadership transition occurs as the company focuses on the integration of artificial intelligence within location intelligence and the provision of data for its partners. TomTom’s strategy remains focused on scaling its commercial presence across all business segments under the new executive structure.

Derk Haank, Chairman of TomTom’s Supervisory Board, said, “Mike brings extensive commercial leadership experience and deep knowledge of TomTom’s business, built over more than two decades with the company. We are confident that he is well positioned to lead TomTom in its next phase.”

Mike Schoofs, said, “I’m excited to lead TomTom at a moment when location intelligence is reaching a decisive turning point, accelerated by AI and the growing need for trusted, real‑world data. I look forward to creating lasting impact for our customers and our partners.”

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IVECO BUS Academy is incorporating virtual reality (VR) into its training curriculum to support the maintenance and operation of electric vehicles across Europe. The initiative follows a year in which the academy trained 6,100 people across 800 sessions in 2025. This integration aims to address the technical skills required for high-voltage vehicle systems while ensuring safety and operational efficiency.

The use of VR technology allows trainees to perform maintenance procedures in a simulated environment, eliminating physical risks associated with incorrect handling of electrical components. The immersive system enables repetitive practice of technical operations and reproduces complex scenarios that are difficult to simulate in conventional training environments. By utilising these tools, the academy seeks to improve knowledge retention and the long-term proficiency of technical teams.

The academy provides training tailored to the requirements of transport operators, updating its content to reflect changes in energy sources, vehicle technology and industry regulations. These programmes are delivered both at the academy's facilities and on-site at customer premises. The deployment of VR is intended to reduce downtime for vehicle fleets by improving the diagnostic capabilities of service personnel.

Teresa Magno, IVECO BUS Academy, said, “At IVECO BUS Academy, we know that delivering sustainable mobility extends far beyond the product itself. A vehicle is only truly efficient when it is supported by the right services. Fleet availability also relies on the expertise of skilled teams. As technologies evolve, so do the competencies required for diagnostics. With these new educational tools, IVECO BUS Academy confirms its ambition to provide comprehensive solutions, where training becomes a real driver of performance, safety and customer satisfaction.”

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IndiGo Ventures has completed a INR 100 million strategic equity investment in Sarla Aviation, marking a formal entry into the Indian electric vertical take-off and landing (eVTOL) sector.

The funding was part of a recent round led by Accel and Nikhil Kamath. The partnership is intended to establish an infrastructure for air taxi operations across India, specifically targeting transport corridors between zero and 300 kilometres.

Sarla Aviation is a startup focusing on the development of hybrid-electric aircraft platforms. The firm operates a private eVTOL demonstrator and employs an engineering team with previous experience at international firms including Lilium, Joby and Volocopter.

By utilising electric flight technology, the company aims to provide transport services for airport transfers, inter-city commutes and emergency medical runs at lower costs than traditional helicopter services.

The collaboration pairs Sarla's hardware development with the operational infrastructure of IndiGo, India's largest airline. At present, IndiGo operates over 2,000 daily flights across 85 airports and maintains a national network of maintenance, repair and overhaul (MRO) facilities. This investment aligns with global trends where major carriers, such as United Airlines and Delta Air Lines, have backed eVTOL manufacturers to secure future urban air mobility solutions.

Beyond passenger transport, the investment is expected to influence the domestic aerospace supply chain, including the production of composites, avionics and battery systems. Potential routes identified for future operations include Bengaluru Airport to Electronic City and Gurugram to Noida, which could see transit times reduced from over 90 minutes to approximately 15 minutes.

Adrian Schmidt, Co-Founder & CEO, Sarla Aviation, said, “IndiGo’s investment marks a turning point — not just for Sarla, but for the future of how India moves. For decades, Indians have accepted that distance means delay, that geography is a constraint you live with. We believe that era is ending. Having IndiGo — the airline that made flying accessible to hundreds of millions of Indians — stand behind this vision gives it a weight and credibility that we could not have built alone. India has always dreamed big. Now we have the partners to match the dream.”

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