Project Proposal Batch SANYO & SAKURAI JJ 2026 #21

 

Project Proposal Batch SANYO & SAKURAI JJ 2026 #21 --> IR.TS.DR MOHD MASRI BIN ABD RASHID

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Student name : MUHAMMAD SYAHMI AIMAN BIN ARSHAD

Title : IoT Based Classroom Appliance Control Using Raspberry Pi 5 with OpenCV for AI Recognition, SQL for Data Management, and Node-RED

Objectives :

Implement classroom system using raspberry pi as the main controller, integrating a camera module and. classroom fans and light using OpenCV.

Develop camera based student presence detection and recording attendance using MySQL

Control classroom appliance automatically based on detected presence of students

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Student name : MUHAMMAD NAJWAN BIN MOHAMAD ASRI

Title : THREE-LAYER SECURITY SYSTEM FOR COMPANY’S NETWORK SECURITY COMPUTER INTEGRATING AI FACIAL ACCESS CONTROL, REMOVABLE MEDIA PROTECTION AND MALICIOUS FILE DETECTION USING RASPBERRY PI WITH CAMERA MODULE, USB ISOLATOR, MYSQL AND NODE-RED

Objectives :

 

1. To implement an Al-based facial access control system for

detecting unauthorized users using Raspberry Pi with camera module.

2. To develop a hardware-based protection system against USB killer

attack via removable media using USB isolator.

3. To perform pre-execution analysis of potentially malicious files

including PDF documents and log the findings in MySQL for

monitoring using Node-RED

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Student name : AMMAR FARIZ BIN MOHD NAMSAHSHAH

Title : AI-Based Traffic Intersection Safety System for High-Risk Vehicle Detection Using Raspberry Pi, MySQL, and Node-RED Dashboard

Objectives :

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Student name : AHMAD BAQIR BIN AIZOL FAIRUZ 

Title : LIVESTOCK CATTLE GPS TRACKER USING LoRa ,ESP32, MySQL DATABASE AND NODE-RED DATABASE FOR INTEGRATED FARMING

Objectives :

 

To develop GPS tracker system using LoRa and ESP32

To store GPS location data in MySQL database

To monitor and visualize the location of cattle through node-red dashboard/interface

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Student name : MUHAMMAD IZZHAR IZZANI BIN MOHD YUSOF

Title : AIoT-Based Camera Vision System for Wild Boar and Monkey Intrusion Detection in Corn Farms Using LoRaWan Communication and MySQL Database integrated using Jetson Orin Nano and Node-Red dashboard

Objectives :

 

1. To design and develop an AI-based camera vision system using an edge computing platform to detect wild boar and monkey intrusion in a corn farm environment.

2. To implement long-range wireless communication using LoRaWAN for transmitting intrusion detection data from the field to a central monitoring system.

3. To develop a monitoring and data management system using a MySQL database and Node-RED dashboard for visualization and intrusion event logging.

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