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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LICO Materials and Ather Energy have announced a partnership to establish a system for the collection and recycling of lithium-ion batteries.

Under this agreement, end-of-life batteries from Ather’s electric two-wheelers will be processed at LICO Materials' facility in Karnataka. The recovered materials will then be reintroduced into the battery supply chain for use by cell manufacturers and vehicle producers.

The initiative aims to address the recovery of materials including lithium, nickel, cobalt, graphite and copper. LICO Materials states that its facility can achieve recovery rates of up to 95 percent.

Gaurav Dolwani, CEO, LICO Materials, said, "India is building one of the world's largest EV fleets and it is doing without domestic reserves of the minerals that power it. That is a structural vulnerability, and battery circularity is the only answer. This partnership means those batteries can be recycled and recovered minerals can be fed into the battery supply chain. We believe this is how India can reduce its dependence on imported critical materials.”

This collaboration aligns with the Battery Waste Management Rules 2022, which require extended producer responsibility within the electric vehicle industry. By recycling battery materials, the companies intend to reduce reliance on imported minerals and support India’s commitment to reach net zero emissions by 2070.

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Bengaluru-based deeptech start-up Vimag Labs has been granted a patent in India for its Virtual Magnet Synchronous Motor (VMSM) platform titled ‘A Robust Rotating Transformer Excited Synchronous Motor and Its Control’, which protects the architecture of the motor that does not require magnets.

The VMSM platform uses power electronics and algorithms to control its magnetic field. Vimag Labs claims that the motor functions without the rare-earth magnets typically found in permanent magnet motors. This is the 5^th patent granted to the company, which also has ten patents pending and 15 trademarks filed.

The company is conducting pilot programmes with manufacturers of two-wheelers and passenger cars. Future expansion plans include light commercial vehicles, commercial vehicles and industrial systems.

Manish Seth, Co-Founder and CEO, Vimag Labs, said, “This patent is the outcome of over 87,600 engineering hours. It strengthens every dimension of our commercial roadmap- OEM partnerships, licensing, manufacturing scale-up, and future growth. Our long-term vision is to build scalable, software-driven, magnet-free motor systems for global electrification. This innovation strengthens India’s deep-tech base across electric mobility, power electronics, robotics, defence, and clean-energy systems.”

Vimag Labs recently raised USD 5 million in a Series A funding round led by Accel, with participation from Chakra Growth Fund and Thinkuvate. The company has also signed a manufacturing memorandum of understanding with Jendamark.

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Tier 1 automotive supplier Autoliv and Chinese automotive major XPENG have signed a strategic cooperation framework agreement to develop mobility solutions for global markets. The partnership aims to facilitate collaboration across technology development, digitalisation, supply chain coordination and sustainability.

As per the agreement, Autoliv will use its global presence and expertise in automotive safety systems to support XPENG’s product development and international expansion. The collaboration is designed to combine Autoliv’s safety standards with XPENG’s work in electric vehicles, AI, autonomous driving and robotics.

Mikael Bratt, President and CEO, Autoliv, said, "XPENG is striving to explore the future of mobility, and Autoliv is proud to support that journey. As vehicles become smarter, safety must be integrated from the very beginning. This agreement reflects our shared commitment to innovation and safety, combining XPENG's innovation in smart mobility with Autoliv's global safety expertise to help make the next generation of mobility safer."

The companies intend for the agreement to improve innovation efficiency in response to changes in the automotive industry, including electrification, connectivity and globalisation.

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Krafton India, the studio behind the popular mobile game – Battlegrounds Mobile India (BGMI), has announced that Italian supercar brand Ferrari will be added to BGMI as part of the 4.5 update, starting from 16 July 2026.

The collaboration brings four models to the game: the Roma, Purosangue, LaFerrari and SF90 XX Spider. These vehicles will be available for over 260 million players to collect through in-app purchases. The update will also introduce a Ferrari-themed photo zone where players can interact with the vehicles and installations. This space will include animations for players to use with teammates.

Players will be able to drive the vehicles from 16 July to 7 September 2026. Further information will be provided on BGMI’s social media channels regarding event dates and trailers. The partnership between Krafton and Scuderia Ferrari HP was established in December 2025.

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