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
Install and connect the cameras to the LoRa smart campus network.
Configure each camera for optimal video quality and continuous streaming to the AI
processing server.
AI & Analytics
People and Vehicle counting.
Suspicious movement and abnormal behavior detection.
Automated Alerts with video clips to municipal control center.

Student Requirements
• Proficiency in Python.
• Familiarity with databases (MongoDB preferred)
• Basic knowledge of AI and computer vision concepts
• Independent learning.
• High motivation.

Development Tools
• Python
• AI Processing Libraries: OpenCV, NumPy, Pandas, Requests,
PyTorch/YOLO, Scikit-learn, paho-mqtt.
• Hardware Communication: LoRa (gateway)
• Additional Tools: Postman, GitHub, VSCode

Deliverables
• connected and configured camera network integrated with the LoRa smart
campus infrastructure, Ai model for suspicious movement detection, people and
vehicle tracking, and abnormal behavior alerts.
• Specification document.
• YouTube video
• Poster
• Presentation
• GitHub link to the code

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

AI and Machine Learning

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
