Department of Industrial and Production Engineering (IPE)

Automated Pop-Up Target System for Rifle Shooting Trainee
As a member of a Bangladesh Army team, I developed an Automatic Pop-Up Target System designed to enhance soldiers' firing practice. This system enabled dynamic and automated training, integrating various features to streamline and improve the training experience. Key technical contributions included:

• Funding: 31,000 USD awarded for prototype development.
• Automated Target Mechanism: Designed a rise-and-fall mechanism using servo motors and electrical actuators, allowing targets to automatically pop up and reset.
• Real-Time Hit Signaling: Implemented SMS and radio signal transmission upon target impact, providing immediate feedback for enhanced training accuracy.
• Hit Counting and Display:>
• Precision Bullet Impact Analysis: Employed vibration and gyro sensors, alongside custom signal processing, to accurately detect hits and prevent false-hit signals.
• Microcontroller-Based Control>:
• The project received $20,000 in funding from the military, was successfully completed, and has been finally handed over for industrial fabrication and operational use. This experience underscores my skills in embedded systems and sensor integration, aligning well with my PhD research interests in automation and control systems.

AI-Driven Smart Conveyor System for Industries

• Funding: 10,000 USD awarded for initial development.
• Funding Source: Military /institute o Science and Technology.
• Objective: To automate product sorting and control conveyor movement using AI-driven machine vision and sensor interfaces.
• Key Features:
  • Telescopic Conveyor Movement: Automated adjustment to product flow and properties.
  • Machine Vision-based Detection: AI-powered detection for product properties like faults, size, and color.
  • Property-based Control: Conveyor movement is adjusted based on product detection results.
• System Components:
  • Programmable Logic Controller (PLC): Core system controller for automation.
  • Optical and Thermal Camera:To provide visual data to the AI-based video processing CPU.
  • Proximity Sensors:
    • Inductive, Capacitive, and Optical sensors to detect diverse product materials and orientations.
  • Actuators:
    • Pneumatic and Electrical Actuators to manage conveyor adjustments.
  • Air Compressor: Powers pneumatic systems for smooth operation.
  • HMI Display: Human-machine interface for real-time monitoring and system adjustments.
• Expected Outcomes:
  • Enhanced efficiency in product sorting and defect detection.
  • Minimized human intervention, increasing reliability and speed in material handling.

Smart Street Light Management System for Rural Area

In 2018, I led a team of MIST students in developing an innovative Smart Street Light System tailored for rural environments. Below are the key highlights of the project:

• Funding: $2,000 awarded for prototype development.
• Automatic On/Off Scheduling: Enables efficient energy usage by automating street light operations based on time schedules.
• GSM-SMS Control Mechanism: Allows remote activation, providing flexibility and immediate response to changing lighting needs.
• Implementation: Final system deployed in Mirpur Cantonment, Dhaka.
• Recognition:
  1. Acknowledged by Dhaka City Corporation.
  2. Received the Best Project Award in the MIST project competition.
• Publication: Project was published in IEEE, showcasing a scalable solution for rural infrastructure. Access IEEE Publication.
• Research Alignment: Integrates my research interests in energy-efficient systems and embedded solutions for smart city applications.

Digital Arsenal Management System for Military

In 2020, I developed the hardware setup for a Digital Arsenal (Kote) management system for the Bangladesh Army, which streamlined and secured the weapon inventory process. This system enabled efficient and reliable management of weapons, including rapid and secure issue and return processes, real-time weapon logging, and strong anti-forgery protections for improved arsenal security. My contributions included:

• Funding:$2,000 from Bangladesh Military Academy for inintial prototype development.
• Prototype Arsenal (Kote): Designed and assembled a functional prototype incorporating RFID-tagged weapons to ensure accurate tracking and monitoring.
• Interfacing Circuit for Security: Engineered a custom circuit for fingerprint and RFID scanning, supporting secure weapon access and preventing unauthorized handling. Real-Time Data Transfer**: Developed internet data transfer capabilities for centralized logging and real-time arsenal monitoring, allowing remote oversight by authorized personnel.
• Arsenal Gate Lock Control: Integrated a magnetic locking mechanism for secure storage, controlled electronically to restrict access based on authentication protocols.

This project, funded by the Bangladesh Army, not only facilitated robust arsenal management but also reinforced my technical expertise in secure embedded systems and digital inventory solutions, aligning closely with my PhD research interests in secure hardware systems and data management.

AI-Powered Terrestrial Surveillance System
In today’s security landscape, where the need for rapid, accurate threat detection is paramount, AI-driven surveillance systems are crucial for safeguarding critical infrastructure. This project addresses these modern security challenges by providing real-time monitoring and automated response capabilities, tailored specifically for high-priority military and government installations. Leveraging advanced machine learning, the system provides real-time detection and rapid response capabilities, ensuring comprehensive threat monitoring and mitigation. Below are the essential features of this innovative security solution:

• Automated Threat Detection: Capable of identifying fire, weapons, military and civilian vehicles, soldiers, and other potential threats in real time.
• Multi-Channel Alert System:
  • Custom-built radio transceiver circuit and radio handset for direct alert transmission.
  • Alerts routed through GSM network (SMS, voice call), Email, and traditional sirens for multi-tier response.
• Military-Grade Encryption: All communication signals are encrypted to meet high security standards.
• Government Funding: Project was funded by the Bangladesh Military Academy.
• Status:The project is partially published in an Elsevier paper available here.

Based on the success of the developed terretrial surveillance system, another project of Aerial Surveillance is being planned to develop. Custom UAVs will be deployed to apply the experience gathered through the developed project.

Numerous Microcontroller and sensor-based hobbyist projects

• Raspberry-based AI-driven fire detection
• PID-powered seamless line follower>
• Smart home security system>
• Cost-effective RFID and Fingerprint secured entry system
• Weather-sensing Irrigation System for Agricultural Lands
• Raspberry Pi Controlled AI (YOLO)-driven Fire Detection and Alarm System
• IoT-based Home Automation etc.