Tag: DeepTech

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Innovator's Vista

Innovators’ Meet held at GAVS Campus in Chennai

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Innovator's Vista

Innovators’ Meet held at GAVS Campus in Chennai

This week, the third edition of Innovators’ Meet was held at GAVS Campus in Chennai.

The meet had presence of investors, industry partners, business professionals and innovators from IoT, AI, ML, Robotics and other deep tech domains. 

The theme of the foregathering was “Meet the Innovators and the Innovation,” and the motive was to bring the three I’s of the ecosystem. i.e. the Industry leaders, investors, and innovators together to stimulate technology-driven innovation (Artificial intelligence (AI) and the Internet of things (IoT) and unleash cocreation & entrepreneurial creativity.

The Startups, Humors, Vyli, Reprosci, Nautilus, Heaps.ai, Aikenist, RHEMOS, Arficus, Dnome, Medtel, Neodocs, TeraLumen, MedloTek Health, eVitalz, Mocero Health, Vulhunt, Inaluz, zMed, Luecine Rich Bio, Frinks, Tagbox, Neurostellar, Punar, Padmaseetha, pwens, and Nura, pitched their products before the investors. Most of the 25 startups that participated were from Healthtech industry, few startups were from Robotics and Cybersecurity.

Innovators’ Meet held at GAVS Campus in Chennai

The Meet hosted speakers such Mr. Chandra Mouleshwaran S from GAVS, Prof. Nandan; Robert Bosch Centre for Data Science and Artificial Intelligence, Mr. Chandramouli; Ex-CIO of Sankar Nethralaya, Mr. Balaji Upili;  CEO of GS Lab and GAVS, Mrs. Kushboo Goel; Senior Consultant Healthcare  and  Navaratan Kataria; Director, Startup Engagement Innovation & International partnerships, NASSCOM COE.

Attendees from startups included Ankur Jaiswal, Pooja H S,  T Udaya Raga Kiran, Apurva Sule, Ashwin Amrapuram, Aamod Wagh, Sandeep Singh, Divya Sriram, Dr Lalit Ranjan, Pratik Lodha, Dr Jyoti Dash, Sharmila Devadoss, Nanda Kumar, Palaniappan N, Akash, Deepak Gupta, Jayakanth, Kumar Aditya Agarwal, Adarsh Kumar, Dhanushya, Charmi, Gowri, Joseph Jegan, and Dr Tausif. 

Some of the notable attendees include Muthu Singaram; CEO, IIT Madras HTIC Incubator,  Akhilesh Agarwal from Pi Ventures, Adarsh B N from Derbi Foundation, Sanjay Selvan; speciale Invest and Himanshu Sikka from IPE Global.

There are plans to organise Innovators’ Meet every month at a different city so as to bring entrepreneurs and investors together in promoting emerging innovation and technologies that are transforming our future.

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Innovator's Vista Mobility

AI driven solution to assess road network

Image Courtesy: Road Metrics
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Innovator's Vista Mobility

AI driven solution to assess road network

Transportation sector is one of the crucial sectors for global economy and road infrastructure is the backbone of the transport network. Road networks have a direct and substantial impact on people’s lives, and thus it needs for regular maintenance and exhaustive monitoring.

The conventional methods for road condition assessment are labor intensive and often fail to meet the present requirements due to the vast area of road networks to inspected within a limited timeframe. Usage of sensors by automation of road damage detection using high-performance sensors is also taking place at some levels but these options are often costly and sometimes unaffordable.

In this context, using AI driven solutions to assess road network for an automated solution can help in easy and early identification of road defects. It involves usage of technologies like Computer Vision, DeepTech, and Machine Learning.

With the advent of Smartphones and Object Detection techniques in AI, these AI techniques are being used to perform road damage inspection. Computer vision AI software extracts road and street level data and identifies information such as road health, street informatory/warning signage and assets.

A Startup, Roadmetrics.AI, is working on this use case. Users need to simply mount smartphone with a customized data collection mobile app above vehicle’s dashboard which captures an image every 10 feet with the entire view of the road. The image data capture starts automatically with the trip and and stops at the end. A specific route can be selected with a targeted approach.

The image data then is sent into a dedicated system, where algorithms—trained with hundreds of thousands of image data points ensuring a high accuracy and constantly improving— can look for damage to the road surface image by image, classify various stages of road pavement damage. Damages are recorded and transferred again to the app. The privacy is also taken care as sensitive information is automatically removed according to GDPR compliance using customised algorithm.

This approach results in considerable savings in time and resources spent by customers in defect identification. Road defects such as cracks and potholes that are a major problem and result in billions of dollars in repair and maintenance can be accurately detected and updated databases of recorded structural damages can be maintained for further maintenance. Some of the key customers for such products are Governments, Road development authorities, Private parties operating in infrastructure sector.


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