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)

Japanese mobility company Suzuki Motor Corporation and Tata Elxsi, a leading design and technology services company have inaugurated the ‘Suzuki-Tata Elxsi Offshore Development Center’ in Pune, India.

The facility will focus on driving innovations in advanced engineering for Suzuki Motor Corporation’s future offerings. Tata Elxsi says it will support Suzuki in its green mobility vision by aligning with the OEM’s global focus on sustainable innovation in lightweight design, safety, styling and engineering, eco-friendly materials, and advanced simulations to improve time-to-market.

Furthermore, the partners will also focus on developing next-generation powertrains (across electric, hybrid and alternate fuels) and software-defined vehicles (SDV).

Katsuhiro Kato, Chief Technology Officer, Suzuki Motor Corporation, said, “As the industry progresses in Connected, Autonomous, Shared, and Electric technologies, Suzuki must accelerate electronic and virtual development to meet evolving demands. Tata Elxsi’s expertise in advanced computing, simulation, and design digital makes them an ideal partner in bringing forward-thinking solutions to market. This strategic and long-term partnership incorporates Suzuki’s endeavor of minimising energy and enables India’s talent to actively contribute to our development efforts globally.” 

Manoj Raghavan, MD & CEO, Tata Elxsi, said, “The inauguration of Suzuki-Tata Elxsi Offshore Development Center marks a significant milestone in our partnership with Suzuki and our shared vision for the future of mobility. Tata Elxsi’s design-led, digital-first approach is uniquely positioned to support Suzuki’s energy minimisation and sustainability goals, advancing the future of automotive engineering with precision and responsibility. We are delighted to support Suzuki in this journey towards transformative automotive engineering.”

MathWorks, a leading developer of mathematical computing software, and NXP Semiconductors, a leading provider of automotive processing technology have joined forces to introduce Model-Based Design Toolbox (MBDT) for Battery Management Systems (BMS).

With this, engineers will be able to not only develop models but also validate BMS applications on MATLAB and Simulink. They will also be bale to automate C code generation from MATLAB for NXP Battery Cell controllers, and also support NXP’s software solution, the BMS SDK components. 

For the unversed, BMS is one of the crucial technology for electric vehicles that ensures optimal performance, durability and safety for the battery packs. The BMS design process the partners state increasingly relies on modelling and simulation to fine-tune algorithms tailored to EVs' specific battery cell types and battery pack configuration. 

The Model-Based Design provides efficient design of the BMS algorithms, which allows it to be tested in simulation for different scenarios, such as driving habits, environmental conditions, and fault occurrences. 

Lars Reger, CTO, NXP Semiconductors, said, "We’re excited to collaborate with MathWorks to support automotive engineers in developing the next generation of BMS solutions. Simplifying direct testing with MBDT on NXP processors offers a broad range of benefits, including faster design iterations that allow engineers to identify and fix issues upfront in the design process and reduce time to market.” 

The MDBT acts as a bridge between theoretical design and practical application.

Jim Tung, MathWorks Fellow, said, "By enabling engineers to go directly from creating BMS algorithms in Simulink to running them on an NXP processor, we're simplifying and accelerating the development process. The growth of the EV market demands more efficient, reliable, and safer battery systems, and tools like MBDT that streamline and enhance the engineering process will be critical. Reducing development times, facilitating easier testing, and accelerating market entry will be differentiators in this competitive market.”

Mushin Innovation Labs, a Software-as-a-Service (SaaS) start-up providing digital solution for the automotive manufacturing industry, has raised USD 250,000 in Seed Series Round led by Inflection Point Ventures. The startup through its Mushin Aqua platform supports Tier 1 and Tier 2 manufacturers to optimise their compliance and improve quality management. This it claims helps to reduce upto 85 percent cost reduction.

The new funds it intends to deploy towards improving sales and marketing operations, accelerate its R&D efforts, and further innovate its product suite. It also aims to expand its market presence, enhance product offerings, and develop new solutions to meet the ever-evolving needs of the automotive manufacturing sector.

Interestingly, Mushin Innovation Labs claims it already secured partnership with 15 leading automotive brands and has onboarded 70 factories within two years. It has successfully passed the Maruti Vendor System Audit (VSA) and obtained Letters of Intent (LOIs) from 15 factories. It currently has 14 active deployments and a pipeline of 52 factories. The start-up claims it has received interest from global OEMs such as Volkswagen, Skoda, Volvo, JCB, and Aston Martin. The start-up was founded by Rachit Srivastava (CEO) and Amman Batra (COO).

The company estimates that the total addressable market (TAM) for Mushin Aqua, is estimated at INR 7,000 billion annually. The serviceable available market (SAM), specifically targeting Tier 1 and Tier 2 manufacturers in India, is valued at INR 450 billion. Based on the company's current capabilities and market focus, the serviceable obtainable market (SOM) stands at INR 45 billion annually.

Vikram Ramasubramaniam, Partner and CIO, Inflection Point Ventures, said, “The automotive manufacturing industry has stringent compliance standards to follow while minimising costs and maintaining top-notch quality. Many Tier 1 and Tier 2 manufacturers struggle to meet these demands efficiently due to fragmented processes and outdated systems. Mushin Innovation Labs addresses this challenge and streamlines compliance and enhances quality management in an accessible price range, making lives easier for tier 1 and 2 manufacturers. IPV believes Mushin is well-positioned for sustainable growth, making it a right investment choice.”

Schaeffler India, a leading motion technology company, in partnership with Buddy4Study Foundation, has announced the winners of its 2024 edition of the Schaeffler India Social Innovator Fellowship Program.

The initiative under Schaeffler India’s CSR initiative HOPE (Healthcare, Occupational skill development, Preservation of Heritage & Environment and Empowerment of Society) in its third edition recognises and rewards social entrepreneurs for their unique sustainable solutions that has positive impact to the society.

The programme is open to applicants between the ages of 18 – 35 across different institutions including IITs, IIMs, NITs, non-profit organisations, and early-stage startups, to pitch their ideas and prototype solution across six key categories. These include environmental sustainability, renewable energy, carbon neutrality, circular economy, natural resource management, and application of technology in the social sector.

The participants undergo rigorous screening, of which 10 projects are shortlisted and receive a grant of INR 150,000 each. The winners were awarded 24-week hybrid mentorship at IIMA Ventures formerly (IIMA-CIIE), a startup incubator founded by the Indian Institute of Management, Ahmedabad. They also get an opportunity to connect with Schaeffler India's network of industry partners, and fellow innovators in the program.

The initiative which started in July 2024, has received over 276 registrations from over 25 states, including the Northeast, West Bengal, Jammu & Kashmir, and more, with 78 shortlisted applicants for assessment.

Harsha Kadam, MD and CEO, Schaeffler India, said, “At Schaeffler India, we are dedicated to advancing motion to foster a sustainable, efficient, and resilient world. The remarkable response to this year’s Social Innovator Fellowship Program highlights the potential of India’s youth to be agents of transformative change. Sustainability and innovation are inherently linked, and through this initiative, we are committed to nurturing young innovators who will help shape the future of India, where both people and the planet can thrive.”

The award ceremony saw attended by Munish Bhatia, Co-Founder, India Accelerator & CEO, Bharat Ventures, and Praveen Bhadada, CXO Advisor and Mentor, along with the Leadership Team of Schaeffler India.