robotics competition

BRACU CHARIOTEER

BRACU CHARIOTEER is a helping hand for the physically challenged people. It empowers the physically challenged people. It helps the persons to move who doesn’t have a very essential body part.

This bot can be controlled with only one finger tip. It has a very responsive joystick and high torque motors which can make it move around 20kmph. We used here track chain instead of normal wheel which helps it to climb the stairs by taking the front part up.

Car seat has been used here instead a normal seat which is very comfortable and also adjustable for better comfort and sleeping. The seat also adjusts automatically using gyroscope sensor when it climbs the stairs. ECG sensor and Pulse sensor are used on the bot so that the person can track his body condition and at emergency cases he can send message to his family members and ambulance with the location coordinates. An IP camera is also used to monitor his physical condition and a medicine and food reminder is also there.

Robotics competition

AUTONOMOUS TRAIN TRACK SURVEILLANCE ROBOT

This robot is an autonomous robot which finds the faults on the train tack. It can run on the same track where the trains run. It use IR and Ultrasonic sensors to find the faults on the train track. If it find any faults on the track it stops there and send the location to the control room and inform what type of faults there.It also use sound sensor to detect

abnormal sound of the track and predict the possible problems.It use IP camera to send video feed to the control room. It also use solar to its power backup.

University project

Bike accident detector and remedy

In our overcrowded world, countries like Bangladesh have devolved into war zones, withthousands of people becoming disabled or worse, dying as a result of traffic accidents. The number of bikes in Dhaka has expanded dramatically as a result of the recent popularity of ride- sharing apps such as Pathao, Uber Moto, Shohoz, and others. As a result, bike accidents have become an everyday thing, we felt the need of an improved bike safety system that ensures biker’s proper emergency services.

In this paper, we have proposed a system that constantly detects bike accidents using MPU6050 (gyro sensor and accelerometer), SIM808 (GPS+GPRS+GSM), Raspberry Pi 3 Model B and Arduino Uno. We also have used a USB camera to record the previous 30 seconds of the accident to identify the reason behind this misfortune. We have placed the proposed system on the surface of the bike and the camera behind the bike’s seat. If an accident occurs, the sensors will trigger, capture the video information of why the accident has occurred and send a message containing the number and location of the biker to the nearest hospitals, police stations and registered family members.

University Project

Market management system

Market management system is a system for collecting shop rent and mantaining shop, developed using django. Also capt some basic unit test case

University Project

PID LFR with webot

Building the Environment: Created a world and floor with a textured background, light, and rectangular arena. Designing the Robot: Used a robot with two wheels and two hinge joints. Integrated three infrared sensors (middle, right, left) for line detection. Creating Tracks: Went to the Tinkercad website to design tracks. Downloaded and imported the tracks to the web software. Ensured correct placement above the surface and adjusted colors for sensor differentiation. Line Following Logic: Used PID algorithm for line following. Discussed the role of proportional, integral, and derivative components in PID. Described how PID helps in maintaining the robot on the line smoothly. IR Sensor Detection: Demonstrated how IR sensors detect light color on different surfaces. Used conditional statements based on sensor values for line following. PID Algorithm Explanation: Discussed the graphical representation of PID action. Highlighted the significance of proportional, integral, and derivative components in achieving smooth motion. Multiplier Arrays: Utilized multiplier arrays to calculate sensor values. Explained the use of different arrays (four and five array) and their impact on performance. PID Constants (kp and kd): Described the proportional constant (kp) and how it is calibrated with array values. Explained the derivative constant (kd) and its role in calculating motor speed. Motor Speed Calculation: Explained the process of calculating motor speed using PID constants. Described how left and right speeds are adjusted based on sensor input. Threshold Conditions: Set threshold conditions for speed to ensure stability. Implemented if-else conditions to control robot speed. Enhancing Smoothness: Emphasized the importance of the number of IR sensors in achieving smoother line following. Showed that increasing the number of sensors improves the robot's performance. Conclusion: Summarized the effectiveness of PID algorithm and the impact of sensor count on line-following precision.

University Project

Home Automation System Using LabVIEW

Implementation of Home Automation System Using LabVIEW: This project deals with the design of control and monitor systems for homes using LabVIEW software. This also achieves the remote control operation. Need to control relay based light, dc motor, servo motor and LED by monitoring the temperature, humidity , CO2 and CH4 gas and smoke. Also need to use PIR for detecting human presence. You cannot use DHT11/DHT22. You need to use other sensor than these for temperature and humidity control

University Project

LFR With MSP430

The MSP430 microcontrollers, featuring a 16-bit RISC architecture, are renowned for their low power consumption. Developed by Texas Instruments, they excel in applications where energy efficiency is crucial, especially in battery-powered devices. This focus on low power makes MSP430 suitable for wearable devices, sensor nodes, and other battery-operated systems. In my first year, I developed a Line Follower Robot (LFR) using MSP430, leveraging its capabilities for energy-efficient designs.

University Project

CGcalculator

Anticipate your next semester's CGPA by determining the course-wise GPA required to achieve your target. This tool allows you to calculate the specific GPA needed in each course to meet your desired overall CGPA.

Fun project

Smartlocker

An fingerprint-enabled smart locker system with GSM security integration. In the event of a break-in attempt, the system triggers an alarm and promptly sends an SMS alert, ensuring heightened security and real-time notifications for unauthorized access.

Fun project

Chitchat

A social platform designed for spontaneous group conversations among diverse individuals.

Fun project

RFID Homeautomation

Blynk RFID Home Automation using ESP8266 with SOS