Technology  Products

Project Summary:
VISIONPARK is a smart urban parking solution that provides comprehensive, real-time data on parking zones and slot availability in cities. Using computer vision and deep learning, the system detects and monitors parking slot occupancy, while GNSS-based localization guides users efficiently to available spaces. The platform is designed to reduce time spent searching for parking, minimize urban congestion, and enhance the overall commuter experience.

Problem Statement:
Urban parking is a persistent challenge in densely populated cities, leading to traffic congestion, fuel wastage, and driver frustration. Traditional parking systems need additional infrastructure, lack real-time updates and fail to guide users effectively to available slots.

Methodology:
VISIONPARK integrates CCTV camera feeds to detect parking slot occupancy using deep learning-based image analysis. Real-time data is processed and mapped to city zones, while GNSS technology calculates the user’s position and distance to each available slot. An intuitive web interface displays occupancy, distances, and navigation guidance for users.

Key Findings & Value Proposition:

1. Provides real-time, accurate detection of parking slot occupancy.

2. Reduces time and fuel wasted while searching for parking.

3. Enhances urban traffic management and commuter convenience.

4. Minimizes infrastructure costs by leveraging existing CCTV cameras for occupancy monitoring.

5. Offers distance-based guidance to available parking zones for efficient navigation

Unique Selling Proposition:
Unlike traditional parking apps, VISIONPARK combines real-time computer vision-based monitoring with deep learning and GNSS navigation, providing precise, actionable insights for urban parking management.

National Impact:
VISIONPARK supports Sustainable Development Goal (SDG) 11 – Sustainable Cities and Communities by reducing traffic congestion, lowering emissions, and enabling efficient, technology-driven urban parking solutions.