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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Bengaluru-based Daimler Truck Innovation Center India (DTICI) has appointed Radhakrishnan Kodakkal as its new Managing Director and Chief Executive Officer. He succeeds Raghavendra Vaidya, who has transitioned to the role of Global Chief Information Officer at Daimler Truck.

In his new position, Kodakkal will oversee the expansion of engineering and digital capabilities at the Bengaluru hub. His remit includes the acceleration of innovation in coordination with the global product engineering, technology and IT teams of Daimler Truck.

Kodakkal joins DTICI with 30 years of experience in technology, engineering, and research and development. He previously served as Global Head of Integrated Technology and Vice-President at Whirlpool Corporation, where he managed R&D operations and digital transformation strategies. His career has focused on the delivery of connected and intelligent technology solutions within multinational organisations.

DTICI serves as a strategic hub within the global Daimler Truck ecosystem, focusing on software, digital platforms and IT operations. The centre supports the parent company’s objectives in developing sustainable and connected transportation solutions.

Key focus areas for the new leadership include:

• Global Collaboration: Aligning Indian engineering output with international product cycles.
• Digital Platforms: Scaling software-defined vehicle technologies and IT infrastructure.
• Innovation Delivery: Transforming research into scalable automotive applications.

Thomas Ulm, Chairman, Daimler Truck Innovation Center India, said, “Radhakrishnan brings deep expertise in technology and engineering, complemented by strong global leadership experience and a proven ability to build and scale innovation. As DTICI continues to play a central role in Daimler Truck’s global engineering and IT network, we are confident that his leadership will further strengthen DTICI’s position as a trusted innovation and delivery hub across the global Daimler Truck ecosystem. I would like to express my sincere thanks to Raghavendra Vaidya for his outstanding leadership and strategic vision. Under his guidance, DTICI has grown into an integral part of Daimler Truck. We look forward to continuing our strong collaboration in his new role as CIO of Daimler Truck.”

Radhakrishnan Kodakkal, stated, “I am excited to step into this role and build on the strong foundation that has been established. The automotive industry is experiencing a period of significant transformation and there’s no better time to be part of it than now. DTICI has grown into a pivotal technology and innovation hub for Daimler Truck, driven by exceptional talent in India. I look forward to collaborating closely with colleagues across the globe to deliver solutions that are scalable, sustainable, and future-ready.”

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TIP Group has announced the appointment of Maurice Meijer to the newly established position of Chief Digital and Information Officer. This strategic role underscores the increasing significance of digital innovation, data management and technology in advancing the company’s long-term Strategy 2030 objectives. As TIP expands its footprint as a comprehensive transportation services provider across 17 European nations, the integration of digital solutions is viewed as essential to fostering operational efficiency, business growth and superior customer engagement.

In his capacity as CDIO, Meijer will lead the formulation and execution of the group’s digital and technological roadmap. His responsibilities encompass overseeing digital platforms, enhancing data analytics capabilities, managing IT infrastructure and strengthening cybersecurity protocols. The goal is to build resilient, scalable systems that align with TIP’s future ambitions.

Meijer joins with a robust background in board-level technology leadership. He previously served as Chief Technology and Information Officer at Nederlandse Loterij, where he spearheaded major digital transformations across various brands and platforms. Prior to that, he held key roles in digital strategy, product development and operations within both the technology sector and public institutions. Additionally, he is involved in supporting early-stage tech startups as an investor and founding partner.

His educational credentials include executive programmes at Nyenrode University and INSEAD, along with a degree in international business management. Meijer is recognised for blending strategic commercial insight with practical technological expertise.

Arjen Kraaij, President & CEO, TIP Group, said, “Digitalisation is central to TIP’s future success. With Maurice, we are bringing in a strong business and technology leader who will help us simplify complexity, strengthen our digital foundations and accelerate execution across the Group. His leadership will be instrumental as we translate our Strategy 2030 ambitions into practical, value-creating solutions for our customers and our teams.”

Meijer said, “I’m really looking forward to joining TIP at this important stage in its journey. With strong foundations, great people and clear ambitions under Strategy 2030, there’s a lot to build on. At the same time, we’re ready to take the next step by accelerating our shift towards more digital solutions. By embracing digital, data and AI in a focused and practical way, we’ll turn opportunities into solutions that truly improve the customer experience and make day-to-day work simpler, smarter and more effective for both our customers and our teams.”

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Swedish battery technology firm Holyvolt has finalised the acquisition of US-based materials specialist Wildcat Discovery Technologies in a deal valued at USD 73 million. The transaction consists of a combination of cash, equity and deferred milestone payments.

The merger integrates Wildcat’s High Throughput Platform (HTP) for material synthesis with Holyvolt’s water-based screen-printing production processes. The combined entity intends to operate as a technology development partner for the automotive, aerospace and energy storage sectors, offering licensing and pilot-scale production services.

Wildcat’s HTP system allows for the simultaneous screening of thousands of material combinations. This method is reported to be up to 10 times faster than standard research and development protocols, generating terabyte-scale datasets suitable for machine learning and AI applications.

Key capabilities of the integrated group include:

• Material Discovery: Use of combinatorial chemistry to identify optimal battery systems.
• Manufacturing Process: Holyvolt’s water-based processing serves as a replacement for conventional organic solvent-based slurries.
• Data-Driven Optimisation: Integration of structured datasets into AI models to accelerate development cycles.
• Sustainability: Focus on cobalt- and nickel-free materials to reduce capital requirements and supply chain dependencies.

The acquisition follows a EUR 20 million funding round for Holyvolt. The new group aims to address production costs and supply chain independence in Europe and North America by combining chemistry expertise with modular manufacturing technology.

Mathias Ingvarsson, Founder & CEO, Holyvolt, said, “The acquisition of Wildcat is a perfect complement to our intended strategy of developing new technologies for the battery industry. Holyvolt is focused on developing new processes to make batteries cleaner and more affordable, and Wildcat has been pursuing the same goals via materials development and better chemistry. Combined, we are building what we believe is the most compelling technology to deliver on these objectives.”

Mark Gresser, President and CEO, Wildcat Discovery Technologies, stated, “The Wildcat team is thrilled with this acquisition by Holyvolt. Mathias and team are very thoughtful with regard to their objectives in the battery industry, and recognise the value that Wildcat’s High Throughput Platform can deliver to our combined company and the industry at large. With Holyvolt’s vision and financial backing, Wildcat can finally unlock the true potential of high throughput combinatorial chemistry for battery materials.”

Prof. Peter Schultz, Founder, Wildcat Discovery Technologies, noted, “With Holyvolt, we can do for batteries what high throughput and AI have done for drug discovery.”

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Chinese automotive major BYD has revealed its second-generation Blade Battery alongside FLASH Charging technology, aimed at improving charging speeds and battery performance in low temperatures.

The system achieves a claimed charge from 10 percent to 70 percent state of charge (SOC) in five minutes, and reaches 97 percent in nine minutes. In temperatures of -30deg C, the charging time from 20 percent to 97 perrcent increases by three minutes compared to performance at room temperature.

The second-generation Blade Battery increases energy density by 5 percent over the previous version. To manage thermal loads during rapid charging, BYD integrated a ‘Lithium-Ion High-Speed Channel’ and a thermal management system.

Key technical specifications include:

• Range: The Denza Z9GT, equipped with this battery, achieves a range of 1,036 km.
• Thermal Management: Full-spectrum systems to regulate heat dissipation.
• Safety Standards: The battery has passed national safety tests regarding puncture and thermal runaway.
• Infrastructure: A world-leading single-connector output of 1500 kW.

BYD plans to build 20,000 FLASH Charging Stations in China by end-2026, with a global rollout scheduled to follow. These stations will feature a pulley-based charger design to improve user ergonomics and keep cables off the ground.

To manage the high-power requirements of 1500 kW charging, the stations use energy storage systems to buffer the demand, reducing the load on the local power grid.

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