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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French technology company Valeo and NATIX Network have announced a partnership to develop a multi-camera World Foundation Model (WFM). The project combines Valeo’s research in artificial intelligence and generative modelling with NATIX’s decentralised physical infrastructure network (DePIN) to create an open-source platform for autonomous driving and robotics.

The initiative aims to move beyond perception-based models by creating a system capable of predicting future states and reasoning about physical interactions in a four-dimensional environment. The model will be trained using NATIX’s data network, which has collected 600,000 hours of video data across the US, Europe and Asia over seven months. This data provides the multi-camera inputs necessary for the spatial perception required by autonomous vehicles and robots.

The partnership builds upon Valeo’s existing open-source frameworks, VaViM (Video Autoregressive Model) and VaVAM (Video-Action Model). While these frameworks were previously trained primarily on front-camera datasets, the integration of NATIX’s multi-camera network expands the AI’s field of vision to 360 degrees.

Under the open-source framework, the partners will release models, datasets and training tools. This approach is intended to allow the research community to fine-tune models and benchmark physical AI across various driving conditions and geographic regions. The collaboration seeks to accelerate the deployment of end-to-end AI models by learning from real-world edge cases captured by vehicles in operation.

Marc Vrecko, Chief Executive Officer, Valeo’s Brain Division, said, “Since our creation in 2018, Valeo’s AI research center has been at the forefront of AI research in the automotive industry, especially in the fields of assisted and autonomous driving. Our goal has always been to advance mobility intelligence safely and responsibly. By combining Valeo’s generative world modeling research expertise with NATIX’s global multi-camera data, we are accelerating both the quality and the accessibility of next-generation end-to-end AI models, enabling the research community to build upon strong open models.”

Alireza Ghods, CEO and Co-Founder, NATIX, added, “WFMs are a once-in-a-generation opportunity — similar to the rise of LLMs in 2017–2020. The teams that build the first scalable world models will define the foundation of the next AI wave: Physical AIs. With our distributed multi-camera network, NATIX has a clear advantage of being able to move faster than large OEMs.”

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Tata Technologies has announced the completion of the 3^rd edition of its innovation hackathon, InnoVent 2026, supported by Amazon Web Services (AWS). The initiative invited engineering students to develop solutions for mobility challenges in the automotive and manufacturing sectors. The programme received participation from 10,247 students across 404 colleges in India, resulting in 2,822 projects.

The competition focused on the theme of intelligence-driven mobility for the year 2030. Participants received over 650 hours of mentoring and training from subject matter experts to convert their concepts into prototypes. The top 10 teams presented their work at the company's Hinjewadi campus in Pune before a jury of industry leaders from Jaguar Land Rover, Air India and ES-Tec Group.

Team Drushti from CMR College of Engineering & Technology, Hyderabad, secured the first prize of INR 300,000 for a system that customises vehicle infotainment for visually impaired drivers. Second place went to Team The T-Factor from Vellore Institute of Technology, Chennai, for an AI-based breakdown prevention system. Team SwarmSync from the International Institute of Information Technology (I²IT), Pune, took third place for an intelligent fleet management solution using V2X communication.

Tata Technologies offered career opportunities to all 42 finalists involved in the top projects. Furthermore, all participants were granted one-year access to the iGETIT learning platform to study emerging technologies. The finalist projects covered areas such as blockchain for vehicle security, wireless charging for electric vehicles, and AI-led battery monitoring.

The event featured a humanoid robot that performed roles such as coordinating panel discussions and interacting with attendees. A panel of industry experts discussed the global demand for engineering talent and the impact of technology on future mobility.

Warren Harris, MD & CEO, Tata Technologies, said, "InnoVent at Tata Technologies represents our conviction that the future is shaped by those who combine engineering excellence with human purpose to engineer a better world".

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Kia India has announced the re-launch of its Kia Inspiring Drive (K.I.D) Program, debuting alongside the New Kia Seltos. The initiative is a driving score system designed to monitor real-time behaviour and provide insights into habits. Accessed via the Kia Connect app, the programme will be rolled out across the company’s connected vehicle portfolio in phases.

The K.I.D score is calculated using a three-month rolling average based on parameters including rapid acceleration, rapid deceleration and sudden starts. To ensure data accuracy, the system applies a weighted value based on the specific vehicle. This methodology aims to reflect long-term driving patterns rather than isolated incidents.

The programme incorporates community-based leaderboards, allowing owners to compare scores and track their standing within the Kia community. By turning road safety into an interactive experience, the manufacturer intends to encourage responsible driving through recognition and competition.

The behaviour-based scoring system provides data to help users understand the impact of their habits on road safety. Kia is supporting the re-launch with a digital and press campaign to increase awareness among its customer base.

Atul Sood, Senior Vice-President – Marketing & Sales, Kia India, said, “Safety remains at the core of Kia’s philosophy, and with the re-launch of the Kia Inspiring Drive program alongside the New Seltos, we are taking another meaningful step towards encouraging responsible driving behaviour. By offering customers clear, data-driven insights into their driving patterns, the KID program empowers them to make safer choices on the road, while also enhancing their overall ownership experience.”

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HARMAN has partnered with Tata Motors Passenger Vehicles (TMPVL) to provide the in-cabin technology for the all-new Tata Sierra. The collaboration introduces 5G-ready connectivity and a multi-speaker audio system to the SUV, marking an expansion of the 12-year relationship between the two companies.

The vehicle features HARMAN Ready Connect, a suite of telematics control units (TCUs) manufactured at HARMAN’s facility in Pune. The system utilises a modular network access device architecture, allowing for a transition from 4G to 5G technology. It supports safety functions such as emergency calling, stolen-vehicle tracking and roadside assistance, alongside productivity features like video conferencing and high-definition streaming.

The interior includes a Horizon View Display and a digital instrument cluster powered by HARMAN’s infotainment architecture. The system supports gaming with joystick compatibility and features a Ready Link Marketplace, which allows users to download third-party Android applications.

For driver assistance, the Sierra incorporates a Surround View System (SVS) and 4sight Blind-Spot Monitoring. Navigation is provided through a native mapping solution from MapmyIndia. The cabin experience also includes ‘Relax Mode’ for sensory visuals and 'Silent Mode' to mute non-regulatory alerts.

The SUV introduces a 12-speaker JBL audio system, which includes an enclosed subwoofer and a soundbar. This configuration supports Dolby Atmos and represents a first for an Indian manufacturer. The integration of these components is intended to provide a multi-dimensional sound profile tailored to the vehicle's cabin.

By localising the production of the telematics hardware in India, HARMAN aims to provide TMPVL with greater supply-chain agility and shorter development cycles. The ‘Make-in-India’ initiative for Ready Connect ensures the technology is adapted to local driving conditions and consumer requirements.

Suman Sehra, VP, Portfolio Management, Connectivity at HARMAN International, said, “HARMAN Ready Connect represents the shift toward software-defined, experience-led mobility, and the new Tata Sierra is a perfect expression of that evolution. By collaborating closely with TMPV’s R&D team, we focused on value co-creation and delivered a platform that brings high-performance connectivity, scalable architecture, and future-ready digital services to support the connected digital life.”

Mohan Savarkar, Chief Product Officer, Tata Motors Passenger Vehicles, added, “With the Sierra, our focus was to create a cabin experience that feels as advanced and intuitive as the world our customers live in. Connectivity, digital interfaces and audio are no longer add-ons—they define how people engage with their vehicle every day. Our collaboration with HARMAN enables us to deliver a future-ready architecture, immersive in-cabin experiences and premium audio.”

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