Organized by NASSCOM Centre of Excellence IoT& AI, an initiative of the Ministry of Electronics & Information Technology (MeitY), and the Gujarat government organized ‘Manufacturing Innovation Challenge 2020.
The aim of the programme was ‘Redefining Enterprises and Entrepreneurs Engagement’. Plutomen Technologies Private Limited, Saven India Energy Management Private Limited, Radome Technologies And Services Private Limited, Cocoslabs Innovative Solutions Private limited (Pixuate), Vashishtha Research (OPC) Private Limited, and Orca Smart Lockswere announced the winners of the challenge.
The winners will work on real-time solutions for large manufacturing companies through paid POC, and get a one year membership to NASSCOM CoE Startup Accelerator Program.
Six winners, out of more than 100 applied startups, for the challenge were chosen from the top 20 startups that presented to Jury comprising senior leaders from industry, academia and government. Start-ups received mentoring support throughout their journey in the challenge to better prepare them for building the technology proposal.
“Digitalization is redefining the manufacturing industry and the NASSCOM CoE is strongly focused on driving thought leadership and co-innovation with startups to help manufacturing companies innovate in the new normal. The overwhelming interest in the `Manufacturing Innovation Challenge’ brings to the fore the innovative capabilities of the start-up ecosystem and the opportunity for the country to build a vibrant and digitally led manufacturing industry. NASSCOM CoE is committed to accelerate these opportunities through showcasing industry specific use cases and coupling them with start-up capabilities,” said Debjani Ghosh, President, NASSCOM.
NASSCOM CoE in conjunction with RPG Group, JK Lakshmi Cement, Thermax Limited, Mother Dairy, Grasim Industries, and Minda Industries nominated six use cases in three broad categories of Resource Optimization, Improved Throughput and Supply Chain for which startups were encouraged to submit technology proposals.
The challenges thrown at the door of startups through use cases included AI based Yarn Grading, Cost Efficient and Robust eLock for Perishable Goods Carrying Carts, Smart Energy Management, Automated Surface Area and Volume Prediction of Raw Materials, High speed Machine Vision inspection in Tyre manufacturing, and Real time quality inspection with AR.
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