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)

The first day of May 2025 is set to become a landmark in the history of the National Highways Authority of India (NHAI) as the Fastag Authentication System (FASTag) ends.

The FASTag electronic toll collection system in India, which uses Radio Frequency Identification (RFID) technology, was introduced to enable seamless toll payments without stopping at toll plazas. This is set to be replaced with Global Navigation Satellite System (GNSS) that will collect toll through a device, possibly fitted in the vehicle number plate. This system will calculate tolls through GPS and GPS-aided GEO Augmented Navigation (GAGAN) as per the actual distance travelled.

This will eliminate the need to pay tolls for the entire highway if one is getting off earlier. With its introduction, toll transactions are expected to see a reduction in technical glitches, helping clear long queues faster. The government of India has received feedback for a more efficient upgrade to FAStag, the bank-based digital wallet system that has been in use since 2016.

So far, users crossing a single toll plaza multiple times a month are issued monthly passes worth INR 340, which means INR 4,080 a year. On the other hand, a yearly pass for INR 3,000 is being proposed for the whole year, allowing unlimited travel across various national highways of India. As per Nitin Gadkari, Minister of Road Transport & Highways (MoRTH), GNSS with annual and lifetime passes for private cars is the solution to decongest Indian highways.

Though originally slated for 1 April, the launch of the new toll collection system has now been scheduled for 1 May. As per media reports, a better network of India’s satellites are being activated for it. GNSS will be in operation alongside FAStag during the initial stages, with select lanes receiving technology for the new system.

The trials with the new technology are already underway on Panipat-Hisar and Bengaluru-Mysore national highways.    

Mumbai-headquartered automotive major Tata Motors has attained a new milestone of filing 250 patents and 148 design applications in FY2025, which is also its highest ever in a year.  

The automaker has filed the patents across a multitude of disciplines such as connectivity, electrification, sustainability and safety (CESS), as well as alternative energy mix such as hydrogen-based vehicles and fuel cells.

Furthermore, vehicle systems, including battery, powertrain, body and trim, suspension, brakes, HVAC and emission control, were also part of the patents filed by the automaker.

Interestingly, in FY2025, Tata Motors filed 81 copyright applications and secured 68 patent grants during the year, which translates to 918 patents granted to date.

What’s more, Tata Motors also received five accolades and honours in FY2025, being recognised for its excellence in intellectual property rights (IPR).

Rajendra Petkar, President and Chief Technology Officer, Tata Motors, said, “Our innovation strategy is focused on delivering sustained value to customers while staying ahead of the industry shifts. This milestone reflects our continued pursuit of automotive excellence and reinforces our long-term vision of manufacturing greener, safer and more efficient vehicles. With a growing portfolio of pioneering technologies, we remain committed to supporting nation-building through cutting-edge solutions. Looking ahead, our efforts remain rooted in shaping the future of mobility, serving the evolving aspirations of our customers and communities alike.”

Japanese auto major Nissan has announced that it will launch its next-generation ProPILOT technology from the fiscal year 2027. The system, featuring Nissan Ground Truth Perception technology with next-generation LiDAR and Wayve AI driver software, will enable its vehicles to have advanced autonomous driving with collision avoidance capabilities.

Built on Wayve’s embodied AI foundation model, the technology is claimed to be designed to handle highly complex real-world driving conditions in a human-like manner.

Wayve is a global AI company has trained its foundation model on vast amounts of real-world experience using custom GenAI technology that enables point-to-point driving across urban and highway environments.

South Korean auto major Kia has officially launched its generative AI-powered voice recognition system, AI Assistant, across Europe, following successful rollouts in Korea and the United States in 2024.

The company said that the AI Assistant is designed to revolutionise the in-car experience by enabling natural, conversational interactions, helping drivers and passengers easily access vehicle features and get personalised assistance on the go.

Accessible via a steering wheel button or by saying ‘Hey Kia,’ the AI Assistant can perform a wide range of tasks, which the company claimed goes far beyond traditional voice recognition. Users can ask for restaurant recommendations, travel tips, or even child-friendly scientific explanations, such as why the sky is blue.

One of the system’s standout features is its ability to understand user intent and context, providing smart, accurate responses. The AI Assistant also helps drivers navigate in-car features and driving aids, like recommending the Highway Driving Assistant during heavy traffic.

Kia’s AI Assistant now comes standard on European EV3 models built from March 2025, with previous models receiving the update via Over-the-Air (OTA) technology. More Kia models equipped with the connected car Navigation Cockpit (ccNC) system will receive the AI Assistant as the rollout expands.

With ongoing OTA updates, the AI Assistant will continuously improve, making every drive smoother, smarter and more intuitive.