AI-Based Visual Inspection: Enhancing The Automotive Industry

Honda Motorcycle & Scooter India Opens Honda BigWing Showroom In West Bengal

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)

Geely

Geely Auto Group has announced the formation of Geely Technology Europe (Geely Tech Europe), a unified research and development centre integrating its engineering facilities in Gothenburg, Sweden and Frankfurt, Germany. The hub will serve as a strategic link to the Geely Research Institute (GRI) in China to develop vehicle platforms for international markets.

Geely Tech Europe aims to provide engineering support for the Zeekr, Lynk & Co and Geely brands. A primary operational goal is to reduce the time gap between Chinese and international product launches to less than 6 months. The organisation plans to double its managed European vehicle projects by 2027 to meet global sales targets.

The hub focuses on three technical pillars:

  • Architecture Development: Co-creating mechanical and electronic/electrical (E/E) architectures.
  • Market Optimisation: Integrating international regulatory requirements and customer needs into vehicle programmes.
  • Digital Innovation: Developing software-defined vehicles using Agentic AI, advanced driver-assistance systems (ADAS) and smart cockpits while maintaining European data privacy standards.

The formation of Geely Tech Europe follows the evolution of China Euro Vehicle Technology (CEVT), established in 2013 and the subsequent Zeekr Technology Europe. The combined teams have previously developed the Compact Modular Architecture (CMA), used in over four million vehicles, and the SEA-S platform, which features a 900-volt high-voltage system.

Giovanni Lanfranchi, CEO, Geely Technology Europe, said, “Europe is more than a key market; it is a global benchmark for automotive excellence and demanding customer expectations. To succeed, it is essential to anticipate and incorporate the needs of all regions from the start of development. Establishing Geely Technology Europe creates a genuinely borderless R&D setup -- a strategic edge that allows us to not only meet global standards, but help set them.”

Tenneco’s India For The World Pivot Disrupting The Global Auto Supply Chain

Tenneco India

American component major Tenneco India is no longer just manufacturing for the domestic market; it is transforming into a high-tech global export hub.

Under the leadership of CEO Arvind Chandra, the company is shifting from a ‘local-for-local’ strategy to a sophisticated ‘India for the World’ mandate that integrates Indian engineering into the global automotive lifecycle.

While current exports sit at approximately 6 percent, Tenneco’s future order book reveals a dramatic shift, with exports accounting for 20 percent of projected growth. This strategy leverages not only India’s competitive labour cost, but also high-quality innovations to bolster the margins of Tenneco’s sister divisions in Europe and the US.

"The addressable market just within Tenneco is huge," Chandra explains, noting that at present 70 percent of exports are currently directed to internal Tenneco entities. To support this, the company is earmarking USD 2 million for FY2026 to expand its R&D capabilities, creating a state-of-the-art centre to attract top-tier talent.

"When you become the export hub for the world, you should also become the R&D export hub," says Chandra.

Disrupting Ride Quality

On the domestic front, Tenneco is betting on ‘premiumisation’ in the passenger vehicle segment to disrupt the market. The company’s patented ‘DaVinci DCX’ suspension technology is at the heart of this push, aiming to bridge the gap between vehicle cost and ride comfort.

Chandra is candid about his goal to challenge the status quo of Indian roads: "My aspiration as CEO is to make sure that we completely disrupt the market. Because the comfort in the mass market passenger vehicle segment has been the same for the last 60-70 years".

Tenneco is also insulating itself against the uncertainty of electrification by remaining powertrain agnostic. Whether the market moves toward EVs, which can increase Tenneco's content per vehicle by over 4x for hybrids, the company remains positioned for growth. By ‘wrapping’ themselves around customer needs rather than protecting rigid revenue streams, Tenneco has secured a dominant 52 percent market share in shock absorbers.

JSW Motors And Dassault Systèmes Forge Long-Term Strategic Alliance For Next-Gen NEVs

JSW Motors And Dassault Systèmes Forge Long-Term Strategic Alliance For Next-Gen NEVs

JSW Motors Limited, the electric and new energy vehicle subsidiary of the JSW Group, has entered into a long-term strategic agreement with Dassault Systèmes. The collaboration centres on transforming how the automaker will design, engineer and build its forthcoming models, with the DELMIA: 3DEXPERIENCE platform serving as the foundational digital framework for its entire lineup of new energy vehicles.

A key focus of the initiative is strengthening domestic capabilities. By merging local production expertise with globally recognised technology, the company aims to establish an automotive ecosystem that sets a new benchmark for India. This dual focus is designed to produce vehicles that meet international quality standards while being specifically calibrated for the domestic market, ultimately bolstering local supply chains and industrial resilience.

To advance this vision, the manufacturer is deploying the 3DEXPERIENCE platform to create a unified Product Lifecycle Management environment that spans design, engineering and validation. This effort is complemented by the integration of a sophisticated Manufacturing Execution System on the same platform, which ensures seamless digital continuity and full traceability from initial concept to final assembly.

Through this integrated approach, the partnership solidifies the company’s readiness to deliver competitive, future-ready vehicles. The unified digital infrastructure not only accelerates product development but also reinforces the organisation’s commitment to building a self-reliant, world-class automotive presence in India.

Ranjan Nayak, CEO, JSW Motors Limited, said, “At JSW Motors, we are building a technology-led future mobility ecosystem which is engineered in India and world class. We are delighted to partner with Dassault Systèmes from France to embed its state-of-the-art, digital platform across the vehicle lifecycle, from design to manufacturing at JSW Motors. We are also in advanced discussions with several additional domestic suppliers to further deepen localisation and strengthen India’s automotive supply chain. By leveraging the best global technologies, we aim to accelerate development timelines while enhancing quality.”

Deepak NG, Managing Director – India, Dassault Systèmes, said, “The Indian automotive industry is at a pivotal inflection point, and JSW Motors is well positioned to lead this transformation. Our 3DEXPERIENCE platform will empower JSW Motors to manage the growing complexity of software-defined vehicles while enabling end-to-end integration across their entire value chain, from design and engineering to manufacturing and lifecycle management. By building virtual twins of their products and processes, we will help drive greater innovation, efficiency and agility, ensuring scalability and sustained competitiveness in a rapidly evolving market.”

Tensor Unveils Level 4 Autonomous Robocar At European AV Summit

Tensor

Tensor, a Silicon Valley-based artificial intelligence firm, has introduced the Tensor Robocar to the United Kingdom at the 5th annual European AV Summit. The vehicle is the first production-ready Level 4 autonomous car designed for personal ownership.

The Robocar features a dual-mode strategy, allowing for both manual and fully autonomous operation. A key hardware innovation is the world's first foldable steering wheel, co-developed with automotive safety supplier Autoliv.

The vehicle architecture is built for full-stack redundancy to meet regional safety and reliability standards. Tensor's engineering utilises agentic AI and adaptive design to manage complex driving environments. The company has established a technical ecosystem through several strategic partnerships:

  • Compute and AI: Collaboration with Arm for power-efficient compute platforms and Nvidia for AI processing.
  • Infrastructure: Integration with Oracle for cloud systems.
  • Manufacturing and Insurance: Partnerships with VinFast for scalable production and Marsh for insurance frameworks.

The UK appearance follows a global launch announcement in August 2025. The European AV Summit served as a platform to engage with regulators, insurers and city planners regarding the implementation of personal Level 4 ownership.

Tensor plans to commence production this year. Initial commercial availability is targeted for the UAE, EU and US markets.

Jay Xiao, Chief Executive Officer, Tensor, said, "Showcasing Tensor at the European AV Summit offered a vital opportunity to demonstrate a production-ready Level 4 vehicle to the policymakers, insurers and industry partners who shape Europe's AV future. Our purpose-built Robocar is engineered for full-stack redundancy providing a level of safety and reliability that combines agentic AI and adaptive design to meet rigorous regional safety standards. Tensor, showing for the first time in the UK, helped translate our technical evidence into practical pathways for safe, consumer ownership across European cities and soon - globally.