Analog pH Sensor

Effective Implementation of Automatic Fertilization using Arduino and Analog pH sensor under the guidance of Mr. Sagar Basavaraju, Amrita School of Engineering, Bangalore
Click here to access the paper.

4WD Warehouse Management Mobile Robot

The structure of the robot is divided into three parts, namely,
1. Base Level: The part of the frame which serves as the base plate and is also responsible for housing the wires and distributing the power equally to all the components. This level is required to be sturdy as it bears the whole weight of the robot and four heavy position encoder motors. The base plate is laser cut according to the suitable arrangement of wheel configuration (X-config) out of 8mm thick Acrylic sheet. Acrylic helps in being a non-conductive base and prevents any kind of short circuit. The power supply is fed into the board from a 4500 mAh 20C discharge rate, LiPo battery and is distributed to two LM2596’s for Step-Down conversion and one Buck Boost Convertor for Step-Up conversion. Microcontroller is powered through a 12V supply that is given by the Buck Boost supply.
2. Middle Level: This plate houses the microcontroller and the Dot Board for componential power supply (12V, 5V and GND connection). It also houses the motor drivers for the motors responsible for Arm Extension, Elevator plate and Claw Action. myRIO: MyRIO is a real-time embedded evaluation board made by National Instruments. It is used to develop applications that utilize its on-board FPGA and microprocessor. It requires LabVIEW. The controller has been used for all the processes in the robot. Mobility is managed by setting the input pins high/low from Hercules Lite Driver.
3. Elevator Level: This houses the main manipulator of the robot. The gripper and the arm are supported by clamps and the arm extension takes place as a simple rack and pinion mechanism. The Gripper mechanism works as a Double Rack and Pinion and supports the holding plates from both sides such that minimum and maximum of 6 cms and 19 cms can be covered. The Elevator is supported by a Lead Screw of length of 30 cms making is easy for the bot to cover 25 cms to 45 cms of table height.
This robot competed at the India Skills Nationals 2018 in the Mobile Robotics Skill.

Click here to read the brief report.

Activity and Location Tracking Wearable Device

DESIGN AND DEVELOPMENT OF AN ACTIVITY AND LOCATION TRACKING WEARABLE DEVICE AND CLASSIFICATION OFSKILL SET FOR EFFECTIVE WORK MONITORING
Team Razvitiye
- The proposed solution can help not only help the villagers follow a more organized work management system through MGNREGA and increase the transparency involved in the process but also help the Government keep track of the workers for day to day jobs assigned.
- Automated system to notify the government official about the worker assigned with the particular task and notify the worker about similar tasks in the neighborhood.
Click here to learn more about the initial study for data collection (Village Vsit 1 - June 2018).

Meeting the Block Development Officer, Mr. Balam Singh (Third from Right) and Mr. Anurag (Third from Left), MGNREGA Coordinator of Dunda Block, Uttarkashi, India

Conducting interviews with a resident of Dunda.

Railway Track Crack Detection and Notification Robot

The proposed solution is to develop an automatic mobile robot communication system with an on-board Graphic Processing Unit to identify and detect cracks or any other faults on rail tracks. Fault, once detected, is reported to the nearest sub-station so that immediate repair can be performed on the marked coordinates. The proposed model is projected to be compact, cost effective and hence, will be driven on one track. The robot will have the capability to go on and off track when an incoming train is detected.
The system makes use of image processing techniques to analyse the image of the track and detect cracks. Compact design is achieved by making the robot mobile on only one railway line of the complete track. The simulation of the assembly is done on MATLAB and OpenCV is run on Raspberry Pi for real-time detection through image acquisition. Alerts are sent to the nearest station based on a Xbee Notification System over the communication medium.

Initial Design

Side View of Chassis designed
Click here to know more.

Quadcopter

Implementation of KK Board 2.1.5 mini with built-in accelerometer and gyroscope on 4*1400KV BLDC Motors and 4*30A ESC with 4*10” propellers to control the axis movements with Flysky ct6b 6 channel 24GHz remote.

Home Automation

The project was based on Internet of Things where everything at home can easily be controlled at the press of a button from anywhere in the world. With the implementation of RGB LED strip, DC fan and a light bulb connected through a relay to Arduino UNO, in turn connected to the WiFi shield ESP8266 and controlled through a Web based platform. DHT11 to calculate the humidity and temperature and send real time data to the user’s mobile phone using BLYNK application connected through a Node MCU. MQ135 in the kitchen for the detection of gas leakage and Passive Infrared Sensor in the hall for the detection of intrusion activity. Biometric sensor GT511C1R and NFC sensor used for Authetication at the main door.

Wireless Charging

Wireless Charging is a trending technology being used in most applications. With objective of research being Minimization of circuit and greater output current to allow Fast Charging, the circuit is at its final stage. Project is under the guidance of Mrs. Bhavana V, Dept. of ECE, Amrita School of Engineering, Bangalore

Object Tracking Bot

Web camera mounted on a stand alongside a laser beam held by two servo motors to control dual axis movements of the laser with the whole setup running on a 12 V Battery. Raspberry Pi 3B running the python script of servo movement and the script to detect the object whenever the camera senses the laser beam that hits the object. The frames are pre-processed into gray scale and then divided into grids to define the position of the object.

Hand Controlled Bot

Using a dual motored bot powered by a 12V, 1.3Ah battery with ATMEGA 328 on Arduino UNO receiving analog signals from ADXL 335 (Accelerometer) and controlling the three axis movements with the sensor held in hand.

4WD Wireless Mobile Robot with Remote Vision

Front View of Complete Build.
This robot competed in the State and Regional Level of India Skills 2018 in the Mobile Robotics Skill and was placed Third.
Click here to find out more details.
Click here to jump to the article published by University.