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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Researchers at Chalmers University of Technology, in collaboration with industry partners, have published a study in Nature Communications demonstrating that reconfigurable battery pack architectures can extend electric vehicle battery operational life by more than 20 percent under specific conditions.

In conventional electric vehicle battery packs, cells are wired in a fixed series configuration, meaning the weakest cell dictates the overall capacity, performance and lifespan of the entire pack. The architecture evaluated by the Chalmers engineering team uses integrated electronic switches and a centralised battery management system to monitor individual cells or cell groups. When a cell experiences accelerated degradation or reduced capacity, the system bypasses the degraded unit while electric current continues to flow through the remaining functional cells.

Albert Skegro, a PhD student at the Department of Electrical Engineering at Chalmers University of Technology, said, "They must all move at the pace of the slowest person and stop when that person stops, regardless of how much energy the others have left. With the architecture we have modelled, the battery can instead bypass the cell that is causing problems and continue using the remaining cells."

Changfu Zou, Professor at the Department of Electrical Engineering at Chalmers, said, "Reconfiguration is not an on-or-off choice. It is a spectrum. Where a manufacturer chooses to position itself on that spectrum determines how much of the potential benefit can be realised."

In a representative modelling scenario featuring an 80 kWh battery pack driven 12,000 kilometres annually over an 18.8-year vehicle lifespan, the reconfigurable system deferred battery replacement by approximately 14 months. The researchers noted that the technology yields the highest performance gains in high-voltage vehicles, including 400-volt and 800-volt electric passenger cars and commercial trucks, where higher cell counts in series increase the statistical probability of individual cell variance.

A techno-economic analysis included in the study determined that implementing cell-level switching hardware increases initial pack production costs by approximately nine per cent based on prototype-scale volumes of 1,000 units. The researchers identified an economic break-even threshold at a 12 percent cost increase, noting that volume manufacturing would lower component costs and increase financial viability for fleet operators and private owners. While prototype applications such as Volvo Cars' SmartCell concept and experimental road vehicles exist, mass-production vehicles using reconfigurable battery packs are yet to enter the commercial market.

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Jakson Green Vehicles has selected Dassault Systèmes’ cloud-based 3DEXPERIENCE platform to manage the design and development of its electric vehicles.

The implementation establishes a collaborative engineering framework to maintain digital continuity across the product development lifecycle. By connecting internal teams and external suppliers, the platform automates workflows, standardises component libraries and manages engineering change requests during early-stage product design. Virtual twin capabilities allow the vehicle manufacturer to conduct virtual validation testing to resolve structural and systems design issues prior to physical manufacturing.

Deepak Thakur, CEO, Jakson Green Vehicles, said, "Using Dassault Systèmes’ 3DEXPERIENCE Platform enables us to apply a collaborative approach and re-engineer our product lifecycle from the ground up. Through this transition from legacy environments to a unified digital thread, it enables strong R&D to achieve twin objectives; accelerated time-to-market and mitigated development costs. This partnership is helping us to transform the early-stage innovation and product design processes."

Deepak NG, Managing Director – India, Dassault Systèmes, said, "As India continues its dynamic growth trajectory, virtual twin technology serves as a powerful catalyst for sustainable innovation, empowering industries to rethink how they design, produce and operate."

The software adoption forms part of Jakson Green Vehicles' plan to build urban zero-emission mobility vehicles and infrastructure across India.

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UK-headquartered energy technology company Gelion has entered into a material transfer agreement with a top 15 global automotive original equipment manufacturer to assess its NES cathode platform for future electric vehicle battery applications.

Under the terms of the agreement, Gelion will supply its sulfur-based cathode active material, coated cathodes and liquid electrolyte to the automotive partner. The manufacturer will evaluate the platform in both liquid and solid electrolyte cell configurations, testing compatibility across lithium metal and graphitic anode pathways targeting luxury and mass-market vehicle applications. The technology is designed to serve as a drop-in cathode material capable of integration into existing battery manufacturing lines without re-tooling.

Matt Wood, Chief Executive Officer, Gelion, said, "Our priority markets are commercial & defence drones, EVs and devices. We are honoured to be working with these major global automotive OEMs, and today’s announcement marks further progress towards the adoption of our technology and the generation of commercial revenues via funded programmes and eventually license and royalty revenue in the global EV market, alongside some of the industry’s leading companies."

"The growing engagement from global EV manufacturers reinforces the potential and attractiveness of our NES™ technology. This momentum is also mirrored in our agreements and partnerships across drones and devices, while our work with Tier 1 materials suppliers is advancing the scale-up of our unique, patented battery materials," Wood added.

The agreement expands Gelion’s ongoing industry testing programs with automotive manufacturers, extending the assessment of its sulfur-based cathode platform across liquid and solid battery systems.

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Honda R&D, a subsidiary of Honda Motor Co., has developed underlying technology for a magnetic coupling wireless power transfer road system in partnership with Taisei Corporation and Taisei Rotec Corporation.

The system enables wireless in-motion charging for electric vehicles, including passenger cars and heavy commercial fleets. The partners plan to initiate demonstration testing on public roads starting in FY2027.

The technology integrates high-power-density receiver and transmitter units from Honda with a high-response direct current power supply system from Taisei and road-embedding construction techniques from Taisei Rotec. By supplying power to electric vehicles while in motion, dynamic wireless power transfer reduces the need for stationary charging infrastructure. The initial commercial focus targets logistics and transport operations, where continuous operation offers economic benefits.

The ground assembly embedded in the roadway combines the inverter and coil into a single unit designed to connect via direct current distribution. This design reduces component counts, simplifies wiring and supports installation into existing road surfaces through standard milling methods. The road pavement structures are engineered to withstand continuous traffic loads from vehicles weighing up to 20 tonnes (20,000kg).

Testing conducted at Taisei Group’s T-FIELD facility in Satte verified system stability and structural durability. Starting in late 2026, the companies will build a test roadway at T-FIELD Tamura to evaluate long-term durability under one million wheel-load cycles, measure power transfer efficiency at outputs up to 150 kW and analyse electromagnetic shielding.

The partnership will also join the Tateyama Expressway demonstration project managed by East Nippon Expressway Company starting in 2027.

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