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NIT Rourkela’s AI-based vehicle detection model to aid in traffic management, ET Auto

NIT Rourkela’s AI-based vehicle detection model to aid in traffic management, ET Auto

by admin
February 4, 2025
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“Its use may assist enhance visitors techniques, scale back congestion, and improve highway security,” Professor Das added.

An Synthetic Intelligence (AI)-based multi-class automobile detection (MCVD) mannequin might help enhance visitors administration in creating international locations, like India, stated researchers on the Nationwide Institute of Know-how Rourkela (NIT Rourkela) on Friday.

Within the paper revealed within the prestigious journal IEEE Transactions on Clever Transportation Programs, the MCVD mannequin demonstrates an accuracy enchancment in comparison with present strategies.

The crew examined the mannequin utilizing the Heterogeneous Visitors Labeled Dataset (HTLD), which incorporates knowledge from a number of cities throughout India and is on the market for public use.

The mannequin’s real-time efficiency was additionally evaluated on the Nvidia Jetson TX2, an edge computing system, the place it maintained robust pace and accuracy even underneath difficult climate circumstances and with low-resolution pictures.

“By overcoming the restrictions of older fashions and addressing the distinctive challenges of combined visitors, the MCVD mannequin gives a scalable possibility for real-time automobile detection in creating international locations,” stated Prof. Santos Kumar Das, Affiliate Professor, Dept. of Electronics and Communication Engineering, NIT Rourkela.

“Its use may assist enhance visitors techniques, scale back congestion, and improve highway security,” Professor Das added.

The crew leveraged an clever automobile detection (IVD) system, which makes use of pc imaginative and prescient to establish autos in pictures and movies. The system collects real-time visitors knowledge to optimise visitors stream, scale back congestion, and help in future highway planning.

Prof. Das and his crew developed the brand new MCVD mannequin, which makes use of Video Deinterlacing community (VDnet) to effectively extract key options from visitors pictures, even when autos range in dimension and form.

Additionally they launched a specialised device known as Gentle Fusion Bi-Directional Function Pyramid Community (LFBFPN) to additional refine the extracted particulars.

The analysis crew is additional engaged on creating a visitors management system based mostly on this concept and can be planning to commercialise it by means of a start-up.

  • Printed On Jan 24, 2025 at 02:08 PM IST

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