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Smart Vision Analytics Platform for Enhanced Security and Operations in Public Facilities
  1. case
  2. Smart Vision Analytics Platform for Enhanced Security and Operations in Public Facilities

Smart Vision Analytics Platform for Enhanced Security and Operations in Public Facilities

wesoftyou.com
Medical
Healthcare
Public Spaces

Identifying the Needs of Healthcare and Public Venues for Advanced Video Analytics

Hospitals, clinics, and similar public spaces face challenges in maintaining safety, health compliance, and operational efficiency. Existing monitoring systems are limited in their ability to detect health-related issues such as fever, enforce safety protocols like mask-wearing and social distancing, monitor hand sanitization, and analyze visitor behavior in real-time to identify bottlenecks and improve service delivery.

About the Client

A mid to large-sized healthcare provider or public institution seeking to enhance safety, operational efficiency, and visitor experience through advanced AI-powered video analytics.

Goals for Developing an AI-Driven Video Analytics Platform in Public Environments

  • Implement a comprehensive AI-powered surveillance system capable of real-time person detection, differentiation, and behavior analysis within large public and healthcare facilities.
  • Integrate thermal imaging and standard cameras to detect fever symptoms and monitor health-related compliance such as mask usage and hand sanitization.
  • Enhance visitor and staff safety by enforcing social distancing and other safety protocols through real-time alerts and analytics.
  • Reduce manual prescreening workload, aiming for significant time savings in security and health checks.
  • Provide actionable insights and dashboards to optimize operational bottlenecks, visitor flow, and staff activities.
  • Create a scalable, flexible platform that can operate with existing security infrastructure and adapt to different venue layouts.

Core Functional System Features for Intelligent Video Analytics

  • Realtime person counting and unique visitor identification through anonymized coding to differentiate individuals and automate entry/exit tracking.
  • Integration with existing security cameras (2K/4K resolution) for transforming 2D video feeds into 3D spatial understanding.
  • Thermal imaging integration for fever detection and health status screening.
  • Monitoring of mask usage, hand sanitizer utilization, and social distancing adherence in public spaces.
  • Behavioral analytics including activity recognition (e.g., eating, reading, scratching).
  • Live dashboards for operational insights and alerts for security and health compliance breaches.
  • Compatibility with cloud infrastructure as well as edge computing to optimize performance and scalability.
  • Multilingual UI options (e.g., English/Spanish) and accessible kiosk-based visitor screening capabilities.

Technology Stack and Architectural Preferences for the Video Analytics Platform

Python for backend AI model processing
TypeScript and React.js for frontend dashboards and user interfaces
PostgreSQL for data storage
AI and machine learning models leveraging Viztel™ or similar proprietary AI technology
Real-time data processing frameworks to handle live video feeds
Support for cloud deployment with options for edge computing
Secure anonymization techniques for user differentiation

Necessary System Integrations for Seamless Operations

  • Existing security camera systems (preferably 2K or 4K resolution) for video feed access
  • Thermal imaging devices for fever detection
  • Facility-specific access control and Point of Sale (POS) systems
  • Health monitoring systems or databases if applicable
  • Notification and alert systems for real-time operational responses

Performance, Security, and Scalability Requirements

  • System capable of processing and analyzing data from millions of unique journeys per month
  • High scalability to support large venues with multiple camera feeds
  • Real-time processing latency must be less than 1 second for alerts and dashboard updates
  • Robust security protocols to ensure data privacy and compliance with health data regulations
  • Reliable operation in varied lighting and environmental conditions

Expected Business and Operational Impact of the Video Analytics System

The platform is projected to significantly reduce manual prescreening effort, saving approximately 816 hours per week for staff. It will enhance safety with accurate fever detection and compliance monitoring, improve visitor experience by reducing bottlenecks, and support data-driven operational decisions. Over time, these improvements are expected to lead to greater safety, higher operational efficiency, and increased stakeholder confidence in healthcare and public facilities.

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