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)

ICRA Warns of Rare Earth Magnet Shortages Impacting Indian Auto Sector by July 2025

Pexels/Mike Bird

India’s automotive industry could face fresh supply chain disruptions by mid-July 2025 due to declining inventories of rare earth magnets, following tightened export restrictions and shipment delays from China, according to rating agency ICRA.

Jitin Makkar, Senior Vice President and Group Head – Corporate Ratings at ICRA, cautioned that the situation echoes the semiconductor shortage of 2021–22, which led to the loss of nearly 100,000 passenger vehicles. “Rare earth magnet inventories are projected to last only until mid-July 2025 for several passenger vehicle and two-wheeler applications,” he said.

Neodymium-iron-boron (NdFeB) magnets, critical for high-performance uses like EV traction motors and power steering systems, are heavily imported – around 85 percent of India’s USD 200 million imports in FY2025 came from China. These magnets make up nearly 30 percent of an electric two-wheeler motor’s cost, with motors priced between INR 8,000 and INR 15,000 depending on specifications.

To counter the supply challenge, Indian OEMs and auto component manufacturers are exploring several alternatives: importing fully assembled motors from China, sending rotors to China for magnet assembly, using substitute materials with similar properties, or switching to rare earth-free motors using electromagnets. However, each option faces significant logistical, regulatory, and engineering hurdles.

While the immediate impact could disrupt production planning, ICRA believes the crisis may also drive innovation and diversification in both materials and supply chains for the Indian auto sector.

Hyundai Mobis Develops New Tech To Prevent Rear-end Collisions

AI - Generated

Hyundai Mobis, a part of Hyundai Group specialising in manufacturing of auto components, modules & systems, has developed a new rear safety control technology that can reduce rear-end collisions.

The company states its new active control technology uses sensors to detect approaching vehicles from behind and manoeuvre the vehicle out of danger, is expected to hit the market soon. It integrates sensors such as rear-side radars and front cameras with driving control technology.

The solution works when the driver engages the Smart Cruise Control (SCC) function on the highway. When the sensors detect any other vehicle at a proximity of 10 metres or less, it first emits an audio alarm or a visual warning on the cluster. When the situation keeps persisting after a certain amount of time, the vehicle automatically accelerates to maintain a safe distance. In addition, the rear side radars also detect the movement of the vehicle behind, while the front camera recognises the lane and vehicle ahead on the driving path to assist in safe acceleration.

Hyundai Mobis acknowledges that while some global OEMs have already integrated such technology, the functions are not yet advanced enough for the vehicle to control itself autonomously. On the other hand, its technology is able to independently adjust the distance between the front and rear vehicles and avoid dangerous situations.
The Korean company plans to further expand the scope of autonomous control for defensive driving against rear vehicles. Currently, the company is developing a lane-changing function to escape dangerous situations, in addition to an acceleration control function that allows the vehicle to speed up on its own.

Jung Soo-kyung, Executive Vice-President and Head of Automotive Electronics Business Units, Hyundai Mobis, said, “We will actively protect the safety of mobility users by providing solutions that can intelligently handle not only front-end safety, but also dangerous situations caused by rear vehicles while driving.”

HARMAN Debuts World’s First In-Vehicle Display Powered By Samsung Neo QLED

HARMAN Debuts World’s First In-Vehicle Display Powered By Samsung Neo QLED

HARMAN, a leading automotive technology company and subsidiary of Samsung Electronics, has unveiled an advanced in-vehicle display that elevates the driving experience with consumer-tech-level visuals. This cutting-edge display, set to debut in the all-new Tata Harrier.ev, represents the first automotive integration of Samsung’s proprietary Neo QLED technology, exclusively licensed and optimised by HARMAN for vehicle applications.

The new 14.53-inch floating Neo QLED display delivers stunning home-theatre-quality visuals with vibrant colours, deep contrast and enhanced brightness, all powered by intelligent algorithms and a sleek, modern design. Engineered to perform flawlessly in all lighting conditions, the display incorporates HARMAN’s proprietary real-time visual control technology, which dynamically adjusts image output to optimize power efficiency. Among its key innovations are the industry’s first cadmium-free Quantum Dot display with intelligent Blue Mini-LED control, 1200-nit peak brightness, true black levels and an expansive 95 percent NTSC colour gamut. The ultra-slim design, featuring bezels under five mm, ensures a seamless and sophisticated aesthetic.

This breakthrough builds on HARMAN’s longstanding partnership with Tata Motors, which began with the integration of JBL audio systems in Tata vehicles across India. With the Harrier.ev, the collaboration now extends to premium branded displays, reinforcing both companies’ commitment to innovation and superior in-car experiences.

Shilpa Dely, Vice President – Displays, HARMAN, said, “We’ve brought together Samsung’s cutting-edge consumer display innovation and HARMAN’s deep automotive expertise to create something truly unique: a first-of-its-kind, in-vehicle visual experience that brings living room TV-level brilliance to the road. We have finally closed the gap between consumer and automotive display technology – and we’re proud to debut this global breakthrough with our trusted partners at Tata Motors.”

Anand Kulkarni, Chief Products Officer, Tata Passenger Electric Mobility Limited, said, “We’re committed to delivering world-class technology to Indian consumers. Together with HARMAN, we're bringing the best of consumer display innovation in India’s most capable SUV, the recently launched Harrier.ev, transforming it into a true third living space after home and office. This collaboration sets a new standard for in-cabin experiences – not just in India, but around the world.”

Sanjeev Kulkarni, Vice President – Sales, HARMAN, said, “Our partnership with Tata Motors spans more than a decade and is built on a like-minded approach to innovation, along with a joint promise to deliver the very best in-cabin experiences to our customers,”. “From JBL premium audio to advanced intelligent cockpit solutions, HARMAN is a defining part of the Tata driving experience. With the introduction of our new display product, we’re proud to take that collaboration even further.”

Volvo Cars Introduces New Multi-Adaptive Safety Belt

Volvo multi-adaptive safety belt

Chinese-owned Swedish automotive major Volvo Cars has unveiled a new multi-adaptive safety belt, which it claims is a world-first technology aimed to further enhance safety for everyone in real-world traffic situations. The multi-adaptive safety belt is set to debut in Volvo EX60 in 2026, the company’s fully electric offering. It uses real-time data from the cars advanced sensors to adapt to traffic variations and the user wearing the seatbelt.

Based on the data input from interior and exterior sensors the seatbelt provides customised protection, adapting the setting based on the situation and individual’s profiles, such as their height, weight, body shape and seating position. For example, a larger occupant in a serious crash will receive a higher belt load setting to help reduce the risk of head injury. While a smaller occupant in a milder crash will receive a lower belt load setting to reduce the risk of rib fractures. Using over-the-air software updates, it gets better over time.

Asa Haglund, Head of Volvo Cars Safety Centre, said, “The world's first multi-adaptive safety belt is another milestone for automotive safety and a great example of how we leverage real-time data with the ambition to help save millions of more lives. This marks a major upgrade to the modern three-point safety belt, a Volvo invention introduced in 1959, estimated to have saved over a million lives.”

The Swedish carmaker stated that modern safety belts use load limiters to control how much force the safety belt applies on the human body during a crash. This new safety belt expands the load-limiting profiles from three to 11 and increases the possible number of settings, enabling it to optimise performance for each situation and individual. Unlike traditional systems, the new multi-adaptive safety belt can utilise data from different sensors, including exterior, interior and crash sensors. In less than a blink of an eye, the car’s system analyses the unique characteristics of a crash – such as direction, speed and passenger posture – and shares that information with the safety belt. Based on this data, the system selects the most appropriate setting.