AI-Enabled Home Security
System Deployment

Target Customers

Homeowners

Technology Stack

AI, Edge Computing, AWS Cloud, Mobile Apps

Client

Home Security Provider

Introduction

In an era where safety and security are paramount, homeowners are seeking advanced solutions to protect their properties and loved ones. Our Client, a forward-thinking home security provider, aimed to develop an AI-enabled home security system that not only monitors but intelligently analyzes activities around the home. This case study outlines the end-to-end deployment of a comprehensive security solution featuring edge computing, real-time alerts, and seamless user interfaces across web and mobile platforms.

Project Overview

Client: Home Security Provider
Target Customers: Homeowners
Solution Components:

AI-enabled cameras
Edge compute box with onboard visual processing
AWS-based backend infrastructure
Web portal and iOS/Android applications

Objectives

Develop an intelligent home security system with advanced detection capabilities.
Implement edge computing for real-time data processing.
Provide user-friendly interfaces for live feed viewing and event notifications.
Ensure scalability and reliability through robust backend services.

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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