High-Tech Highways: India Uses NVIDIA Accelerated Computing to Ease Tollbooth Traffic

India is home to the globe’s second-largest road network, spanning nearly 4 million miles, and has over a thousand tollbooths, most of them run manually.

Traditional booths like these, wherever in the world they’re deployed, can contribute to massive traffic delays, long commute times and serious road congestion.

To help automate tollbooths across India, Calsoft, an Indian-American technology company, helped implement a broad range of NVIDIA technologies integrated with the country’s dominant payment system, known as the unified payments interface, or UPI, for a client.

Manual tollbooths demand more time and labor compared to automated ones. However, automating India’s toll systems faces an extra complication: the diverse range of license plates.

India’s non-standardized plates pose a significant challenge to the accuracy of automatic number plate recognition (ANPR) systems. Any implementation would need to address these plate variations, which include divergent color, sizing, font styles and placement upon vehicles, as well as many different languages.

The solution Calsoft helped build automatically reads passing vehicle plates and charges the associated driver’s UPI account. This approach reduces the need for manual toll collection and is a massive step toward addressing traffic in the region.

Automation in Action

As part of a pilot program, this solution has been deployed in several leading metropolitan cities. The solution provides about 95% accuracy in its ability to read plates through the use of an ANPR pipeline that detects and classifies the plates as they roll through tollbooths.

NVIDIA’s technology has been crucial in this effort, according to Vipin Shankar, senior vice president of technology at Calsoft. “Particularly challenging was night-time detection,” he said. “Another challenge was model accuracy improvement on pixel distortions due to environmental impacts like fog, heavy rains, reflections due to bright sunshine, dusty winds and more.”

The solution uses NVIDIA Metropolis to track and detect vehicles throughout the process. Metropolis is an application framework, a set of developer tools and a partner ecosystem that brings visual data and AI together to improve operational efficiency and safety across a range of industries.

Calsoft engineers used NVIDIA Triton Inference Server software to deploy and manage their AI models. The team also used the NVIDIA DeepStream software development kit to build a real-time streaming platform. This was key for processing and analyzing data streams efficiently, incorporating advanced capabilities such as real-time object detection and classification.

Calsoft uses NVIDIA hardware, including NVIDIA Jetson edge AI modules and NVIDIA A100 Tensor Core GPUs in its AI solutions. Calsoft’s tollbooth solution is also scalable, meaning it’s designed to accommodate future growth and expansion needs, and can better ensure sustained performance and adaptability as traffic conditions evolve.

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Indegene Announces Strategic Collaboration with Microsoft to Help Life Sciences Companies Scale Up Generative AI Adoption and Accelerate Business Impact

Princeton, NJ, and Bengaluru, KA, July 11, 2024: Indegene today announced a strategic collaboration with Microsoft to empower global life sciences companies to scale up the adoption of purpose-built, enterprise-grade Generative AI (GenAI) services, thereby driving faster innovation at scale.

Indegene and Microsoft have committed to developing resources in highly specialized and skilled medical and technology tools to co-innovate generative AI services and workflows across commercial, medical, regulatory, and clinical functions.

“GenAI presents a once-in-a-decade opportunity for life sciences companies to modernize business processes and reimagine the effectiveness and efficiency of their operations throughout the value chain. Using GenAI, we’re closely working with many of our clients to solve specific business problems, with nearly 50 real-world use cases already in an advanced pilot stage”, said Tarun Mathur, CTO, Indegene. “As we double down on efforts to strengthen our innovation prowess, we will keep exploring opportunities for greater collaboration with key technology providers. We remain focused on helping our clients harness the potential of GenAI with targeted solutions to address some of their most pressing operational challenges and make their business future-ready.”

Alok Lall, Chief Operating Officer, Microsoft India & South Asia, said, “Generative AI is profoundly shaping every industry, including life sciences, by offering unprecedented avenues for healthcare technology advancements. According to a Microsoft-commissioned study conducted by IDCi, a staggering 79% of healthcare organizations have now embraced AI. This demonstrates that the tangible business value of this transformation is indisputable. By seamlessly integrating Indegene’s domain knowledge with Microsoft Azure OpenAI Service and Microsoft Copilot, we stand at the forefront of advancing generative AI within the life sciences sector. This collaborative effort empowers life sciences companies to fully harness AI’s capabilities, fostering innovation and scalability within the industry.”

Some of the key use cases the strategic collaboration focuses on in the first phase, include:

1.Content Super App: Using Azure OpenAI Service, the modular content value chain simplifies content creation and tagging for life sciences companies. This integrated approach offers a holistic view of the content value chain, enabling greater velocity, personalized content, and adoption of new conversation form factors. It also streamlines creative and video transformation while effectively engaging healthcare professionals (HCPs), patients and payers

2.Future-ready medical content value chain: Generative AI capabilities are revolutionizing the medical content value chain. From sourcing content from relevant literature articles to authoring core documents such as Clinical Study Reports (CSRs) and Protocols, Indegene’s solutions accelerate authoring processes and help ensure compliance across clinical and regulatory domains

3.Data Management and Analytics for Clinical Trials: Using Microsoft Fabric, Indegene’s solutions enhance the process of data ingestion and refinement, facilitate effortless reporting, and guarantee governance. This leads to proficient analytics, adherence to compliance, and nimbleness in business operations. It revolutionizes the way sales users work and provides a competitive advantage in the marketplace

Indegene counts 20 of the world’s top 20 biopharma companies among its clients. The company brings a practitioner’s perspective to enable organizations to become AI-powered companies. With patients and their health outcomes being the key, Indegene powers clients’ ambition with a practitioner’s expertise in leveraging GenAI, at scale. “With a focus on the right use cases, a responsible and compliant approach to scaling up, and shared learnings, we put generative AI to work for our clients”, added Tarun.

To develop a future-ready workforce, Indegene has also instituted the ‘GenAI @ Work’ initiative, where all its 5,000+ employees will be trained on various facets of GenAI to enhance automation and productivity, allowing its employees to focus on higher-value tasks. As part of this initiative, Indegene has deployed Microsoft Copilot in several of its core business processes and has already started seeing significant productivity improvements.

About Indegene

Indegene Limited (BSE: 544172, NSE: INDGN) is a digital-first, life sciences commercialization company. It helps biopharmaceutical, emerging biotech, and medical device companies develop products, get them to the market, and grow their impact through the life cycle in a more effective, efficient, and modern way. Indegene brings together healthcare domain expertise, fit-for-purpose technology, and an agile operating model to provide a diverse range of solutions. These aim to deliver, amongst other outcomes, a personalized, scalable, and omnichannel experience for patients and physicians. It’s what drives Indegene’s team and their purpose to enable healthcare organizations to be future-ready