Description

Introduction
This project will develop an AI-powered Smart Security System that uses real-time video
analytics and modern web technologies to enhance urban safety.
Two cameras, connected via the LoRa smart campus network, will monitor public areas,
detect abnormal patterns, count and identify people and objects, and send intelligent alerts
to the municipal control center.
The system will process data in real time, display it on an interactive web dashboard, and
use AI models for suspicious movement detection, people and vehicle tracking, and
abnormal behavior alerts.

Background
Urban security challenges are increasing, with traditional CCTV systems often providing
only passive recording and slow response times.
Recent advances in AI-based video analytics enable automated threat detection, pattern
recognition, and rapid alerts. In this project, two cameras will be integrated into the LoRa-
based smart campus infrastructure at HIT, enabling real-time monitoring, abnormal
behavior detection, and automated alerts for the Holon municipal control center.

Project Scope
Develop a real-time web dashboard to display live camera feeds, alerts, and event history.
Build a backend API to process detection data, manage alerts, and communicate with the
LoRa gateway and the cameras. Store and manage event logs, video metadata, and system
settings in MongoDB.
Integrate real-time notifications and ensure secure authentications for all users.

Student Requirements
• Proficiency in Java Script,HTML and CSS.
• Familiarity with React.js and Node.js.
• Understanding of REST API design.
• Familiarity with databases (MongoDB preferred)
• Independent learning.
• High motivation.

Development Tools
• Frontend: React.js, Axios, Tailwind / Material UI / CSS - (for styling)
• Backend: Node.js (Express.js), WebSocket (for real-time updates), Mongoose
• RESTful API
• Database: MongoDB
• Hardware Communication: LoRa (gateway)
• Additional Tools: Postman, GitHub, VSCode

Deliverables
• AI Smart Security Web App – real-time dashboard with analytics, alerts, and
video integration.
• Specification document.
• YouTube video
• Poster
• Presentation
• GitHub link to the code

Name: Shimon Turchak
Email: shimonturchak2@gmail.com
AI Team - AI Smart Security System

Full Stack

Description

Emphasis in project execution

The project is has cooperation with the industry and combines meeting deadlines while being creative and focused on the task
