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Travash Software Solutions

Home > CrowdCounting

Real-time AI-Powered Crowd Management System Through Our Innovative Web Application

Services

Web App & Desktop App

Tech Stack

Demo of the final product

Introduction

The Crowd Counting platform is an AI-based platform based on a deep learning algorithm that counts the number of persons in real-time. It is mainly used in real life for automated public monitoring from particular entry or exit points of premises. Crowd counting is done using CCTV video streams in real-time.

Scope/Challenges

The City government was struggling to manage large crowds and maintain public safety during major events and festivals. They needed a way to accurately count the number of people in public spaces and monitor crowd movement in real-time to prevent overcrowding and identify potential safety hazards.

  • Difficulty managing large crowds during major events and festivals
  • Limited Visibility and Understanding of Crowd Sizes and Movements
  • Potential legal and financial liabilities due to safety concerns and inadequate crowd management strategies
  • Inability to identify and address specific needs and preferences of different groups of attendees
  • Limited resources and staffing to effectively manage and monitor large crowds in real-time

Solutions

We offer a wide range of features to crowd counting application.

Features

Crowd Detection and Tracking

Detection and tracking of individuals and groups of people

Crowd Density Estimation

Estimation of crowd density and identification of potential safety concerns

Real-time Monitoring and Decision Making

Data is sent to a centralized control room for real-time monitoring and decision-making

Live Video Analysis

Analysis of live video feeds from surveillance cameras in key locations

Safety Concern Detection

Safety concerns are detected using technology and algorithms to analyze potential risks

100% Accuracy

We have done 100% accuracy to detect the faces and match the results

Results

Accuracy of Crowd Counting

Accuracy rate of 95%

Real-Time Monitoring and Alerting

response time of under 5 seconds

Scalability and Performance

Track Crowd of 10 Lakh+

User Satisfaction and Adoption

Rate of 85%

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Sneha Sharma - Client Success

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