Project Proposal Batch SANYO & SAKURAI JJ 2026 #16

 

Project Proposal Batch SANYO & SAKURAI JJ 2026 #16 --> DZULHIZZAM BIN DULAIDI

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Student name : AILEEN SURAYA BINTI MOHD NIZAM

Title : AUTOMATED VISION-BASED PHARMACEUTICAL PILL QUALITY INSPECTION SYSTEM USING RASPBERRY PI 4 , CAMERA, MYSQL AND NODE-RED AS MONITORING SYSTEM.

Objectives :

1. To develop an automated system to inspect pharmaceutical pills based on round-shape, color and surface condition using raspberry pi 4, and camera.

2. To store pill inspection data in a MySQL database for record.

3. To monitor pill inspection results using a Node-RED based monitoring system.

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Student name : MUHAMMAD IMRAN BIN JAMALUDDIN

Title : AI- DRIVEN SORTING OBLONG PILLS CLASSIFICATION AND DEFECT DETECTION USING RASPBERRY PI 5 WITH RASPBERRY PI CAMERA MODULE, MYSQL AND NODE-RED DASHBOARD

Objectives :

 

1. To design and develop an AI-driven system based on oblong classification using Raspberry Pi 5.

2. To train and deploy a YOLO object detection model that can classify three pills’ shapes such as round, oblong and capsule using Raspberry Pi Camera Module.

3. To implement a system that sends updates to a database such as quantity of defect and non-defect and types of pills using mySQL and visualized the data through Node-RED Dashboard.

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Student name : MUHAMMAD RAZIN BIN KHAIRUL NIZAM

Title : AI Pharmaceutical Capsule Inspection,  Detection of Shape, Color, and Defects Using YOLO on Raspberry Pi 5, PI Camera v3, SQLite, Streamlit for GUI

Objectives :

 

1. To develop a deep learning model using YOLOv11 on a Raspberry 

Pi 5 that simultaneously verifies capsule shape and color while 

detecting surface defects.

2. To design a Graphical User Interface (GUI) using Streamlit and 

integrate an SQLite database.

3. To integrate a DC Motor mechanism that physically segregates 

items into "Accepted" and "Rejected" bins.

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Student name : NUR ALIYAH BALQIS BINTI MOHAMAD AZRI

Title : Solar-Powered IoT Chemical Lab Air Quality Monitoring and Automated Purification System using ESP32, Node-RED Dashboard, MySQL

Objectives :

 

1. to develop a solar-powered alert and purification system for chemical laboratory monitoring using temperature, humidity and gases sensors.

2. to use an ESP32 to collect sensor data and transmit it wirelessly via Wi-Fi for monitoring.

3. to store and visualize air quality and system operation data in a MySQL and Node-RED.

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Student name : MUHAMMAD SHAMIL IMRAN BIN SHAHRINIZAR

Title : IoT-Based Early Plant Disease Risk Detection and Monitoring System for Bonsai Using Raspberry PI, DHT21,Soil Moisture, Node-RED, and MySQL, Telegram Notification

Objectives :

 

1. To develop an IoT-based system using Raspberry PI to monitor environmental parameters such as temperature, humidity, and soil moisture.

2. To integrate Node-RED with Telegram Bot API to deliver alerts when sensor readings exceed predefined threshold values.

3. To provide a dashboard interface for visualizing environmental conditions and supporting informed decision-making using Node-RED and MySQL

4. To capture clear images of bonsai leaves and stems using a camera connected to Raspberry Pi to monitor plant condition and detect early signs of disease.

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