AI-Powered Construction Site
Monitoring System Deployment

Target Customers

Construction Site Managers and Safety Officers

Technology Stack

Ambarella CV22, Wi-Fi connectivity, AWS Cloud, Mobile Apps

Client

Major Construction Firm

Introduction

Construction sites are dynamic environments with numerous safety hazards. Ensuring that all workers comply with safety regulations, such as wearing Personal Protective Equipment (PPE), is crucial to prevent accidents and injuries. Our client, a leading construction firm, sought to implement an Al-powered monitoring system to enhance on-site safety by detecting PPE compliance and other safety-related behaviors. This case study details the end-to-end deployment of a comprehensive monitoring solution featuring edge computing with the Ambarella CV22 platform, real-time alerts, and intuitive user interfaces across web and mobile applications.

Project Overview

Client: Major Construction Firm
Target Users: Construction Site Managers and Safety Officers
Solution Components:

Smart cameras with onboard computing (Ambarella CV22)
Wi-Fi connectivity for each camera
Cloud-based backend infrastructure
Web portal and IOS/Android applications

Objectives

Enhance on-site safety by monitoring PPE compliance using computer vision.
Implement edge computing for real-time data processing on each camera.
Provide user-friendly interfaces for alerts, notifications, and event video access.
Integrate seamlessly with existing site operations without disrupting workflow

Implement

Edge computing for real-time data processing.

Develop

An intelligent home security system with advanced detection capabilities.

Ensure

Scalability and reliability through robust backend services.

Provide

User-friendly interfaces for live feed viewing and event notifications.

Web and Mobile Applications

Frontend Framework

Edge computing for real-time data processing.

APIs

RESTful APIs secured with OAuth 2.0.

Mobile Applications

Developed natively for iOS (Swift) and Android (Kotlin).

Real-Time Communication

WebSockets for live feed and instant notifications.

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