The Indian automotive sector is on the brink of a transformational era. The industry is projected to generate 65 million new jobs by 2026, as envisaged in the National Automobile Mission Plan 2016-26 (AMP 2026) of the Government of India and the Association of Automobile Manufacturers. Technologies such as Artificial Intelligence (AI) and Machine Learning (ML) play a crucial role in enhancing multiple areas of design, operational efficiency and driver experience.
Automakers are already working on AI/ML deployments, making vehicles safer and more automated driving experiences. The manufacturing process becomes more accurate and efficient under the guidance of AI/ML systems, reducing costs and waste. Advanced AI/ML algorithms help fleet engineers predict maintenance, reduce unexpected failures and extend the life of the vehicle.
These are some ways in which AI/ML has influenced the automotive industry.
This article delves deeper into how companies can leverage AI and ML to promote a safer, more efficient, and sustainable future.
1. Optimizing automobile manufacturing
Indian automakers and suppliers face major challenges in resource allocation, quality control and operational improvements. AI/ML offers sophisticated tools to help you overcome these challenges.
To learn more about how AI/ML technology can be brought into real-life applications in automated manufacturing:
Automatic quality inspection: Using AI for quality inspection reduces the chances of human error while improving defect detection in manufactured parts. This not only ensures that each generated component is of the highest quality, but also ensures that the final product is equally safe and reliable.
Optimize your supply chain with ML: Deploying ML algorithms in supply chain operations enables automakers and suppliers to forecast demand, optimize logistics, and effectively manage inventory. This allows businesses to reduce costs, improve product availability and improve production scheduling.
Reduce carbon dioxide emissions with AI-driven energy management. Automakers can leverage AI to optimize energy usage with automated control systems. Restricting energy consumption to only those that need it reduces operating costs, energy waste, and carbon emissions.
2. Simulation and design
The simulation and design stages often encounter challenges when creating accurate models to predict actual performance and feasibility. AI/ML synthesizes design elements, materials, and engineering principles to help automakers develop enhanced vehicles. It also allows you to create more reliable models, allow for quick design changes for optimal performance, and identify possible problems before building physical prototypes.
This helps automakers reduce development time and improve the success rate of new design projects. Some of the actual applications of these technologies are:
Test drive concept vehicle with advanced simulation tools: AI/ML provides advanced simulation tools for testing vehicle designs in a variety of conditions without the need for physical manufacturing. These simulations help to detect potential errors early and save time and resources for new product development.
Improved vehicle appearance and functionality: AI/ML helps you develop vehicle designs that balance aesthetics, function and sustainability. Integrating these will help contribute to overall advances and innovation in vehicle design.
Structural integrity analysis to find design weaknesses: Using ML systems to analyze the structural integrity of a product or vehicle, identifying weaknesses and discovering improvements. Integrating safety standards with ML algorithms not only helps in creating safer vehicle components, but also ensures that they are in compliance with safety regulations over the long term.
3. Cybersecurity
Automotive manufacturing sectors need to implement robust cybersecurity measurements to protect digital assets. Cyberattacks range from unauthorized access to access critical systems, data breaches of disclosure of sensitive user information, or more sophisticated attacks aimed at breaching the functioning and safety of vehicles.
AI/ML works 24 hours a day to detect, counter and prevent these malicious attacks. It can be used to implement a safer cybersecurity network, including:
Anomaly detection and faster corrective actions: AI/ML actively monitors vehicle systems to identify abnormal patterns or deviations in real time. Immediate detection of unauthorized or malicious attacks enables prompt corrective action and reduces the risk of data breaches.
Threat Intelligence and Predictive Analytics: “By leveraging threat intelligence and analyzing huge datasets, businesses can gain insight into new threats and vulnerabilities. AI/ML algorithms can enhance security against cyberattacks and data breaches by responding to threats before causing serious damage.
Automatic Incident Response: By streamlining incident response through automation, potential damage can be controlled through threatening cyberattacks. This reduces the burden on personnel and minimizes manual intervention.
India's Automotive Industry – The Future Road
The future of India's automotive industry is set to witness the incredible growth that fuses innovation, changes consumer preferences, and government initiatives that have driven India's path to becoming a global market leader in the coming years.
As the country gradually moves towards EVS and sustainable mobility solutions, it is also important to address how the adoption of intelligent systems and automated AI/ML solutions has helped many automotive companies to optimize operations and achieve profitability by leveraging new age technologies. As India has increased opportunities to become a leader in shared mobility by 2030, it will need to think and reflect on the innovations that could lead to this growth, and will continue to shape the future of India's automotive sector. These advancements not only shape the future of mobility, they also drive economic and technological advances in India.
Terry Smur
Terry Smer is Infor's Senior Vice President and General Manager of Asia-Pacific Japan.
