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Computer Vision Foundational Research
Vision Assisted Navigation
Vision-Assisted Navigation focuses on enabling machines to perceive, understand, and navigate complex environments using visual data, aiming to build core capabilities in vision-based localization, path planning, and situational awareness aligned with the broader goals of Positioning, Navigation, and Timing (PNT).
Computer Vision In-House Translational R & D
VISIONPARK: Vision Based Parking Detection and Navigation
Project Objectives:
Learn More- To develop an AI-Powered Vision based system to accurately detect and identify the available parking slots within the designated parking area.
- To develop a network driven navigation module that calculates and guides the drivers to the nearest available parking slot using the shortest route, reducing the congestion and wait times.
- To design an immersive API based user friendly dashboard application that provides real time parking slot visualization at the parking area entrance
Optical Character Recognition (OCR) for Smart Indoor Navigation on Virtual Reality (VR) platform
Objectives:
Learn More-
To Develop a robust and accurate OCR model for signage and character extraction from live video streaming in indoor environments.
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To develop a real-time character interpretation model that analyzes extracted text to determine directional indicators, labels, and location markers, enabling intelligent wayfinding decisions.
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To develop an integrated model for 3D indoor map with Virtual Reality for Interactive and immersive visualization and navigation.
Computer Vision IIT Tirupati Faculty Translational R & D
Small Objects Detection and Tracking in Aerial Images under Diverse Weather Condition (Dr Ramakrishna Gothi)
About the Technology: This project aims at the development of detection and tracking of small size objects such as
Learn More- UAVs from ground
- Small objects like the Marine objects from Aerial images
- Armed insurgents (crowded gathering) from aerial images or video. The challenge is detection and tracking small objects in degraded complex video sequences due to dynamic variation of scene degraded illumination conditions
Computer Vision PI Based Translational R & D
Automatic and Real Time Public Transportation Monitoring System (PI: Dr. B Pavani, GNITS - Hyderabad)
This Project focuses on developing
- An Accurate Passenger Counting System (PCS) using optical sensors.
- An Efficient Edge Device for real-time passenger data management.
- A Comprehensive Dashboard Interface to visualize transit performance metrics, including number of passengers entry/exit, vehicle location, passenger load, and on-time performance.
AR Tirumala Darshan (Dr. Himangshu Sarma, Assistant Professor, IIIT Sri City)
About the Technology: The proposed technology integrates augmented reality (AR) with natural language processing (NLP) to develop an innovative platform that enhances on-site exploration. It provides users with immersive multimedia content for Tirumala Darshan and real-time language translation, transforming cultural and historical sites into more interactive, inclusive, and engaging experiences for a the audience.
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