Preventing COVID-19 Crisis using Deep Learning and Computer Vision
Team Members: Shukla Shail Vijay Kumar
Guided by: Mr.Joshi Jignesh Hariprasad (jignesh.joshi.ec@vvpedulink.ac.in)
The objective of this system is to detect social distancing and face mask violations in this pandemic situation. Once deployed correctly, it could surely help in ensuring that social distancing is being followed and people are regularly wearing masks, especially in a closed premises such as offices, corporate units etc.
Automatic Energy Meter Reader
Team Members: Aparnathi Bhaveshgiri Rameshgiri, Joshi Dhaval Sanjaybhai
Guided by: Mr.Sardhara Ravin Nathalal (ravin.sardhara.ec@vvpedulink.ac.in)
Advanced metering infrastructure (AMI) is the new term coined to represent the networking technology of fixed network meter systems that go beyond AMR into remote utility management. The meters in an AMI system are often referred to as smart meters, since they often can use collected data based on programmed logic.
Custom Object Detection
Team Members: Vadgama Sarth Bhavi
Guided by: Dr.Kamdar Dipesh Girinbhai (dipesh.kamdar.ec@vvpedulink.ac.in)
The Custom Object Detection is a deep learning based network which can be trained to recognize specific characterized object as per user requirement. The object detection source can be preloaded videos or images or even live feeds. By implementing this network, the raw video feed and still frames can be processed over to detect specific or generalized information from the source. Further this model can be trained to detect specific type or class of objects depending on user requirements.
Real Time Implementation of PCB Plotter with Efficient Path Planning
Team Members: Joshi Gaurang, Ambasana Gaurang
Guided by: Prof. Dr. Dipesh G. Kamdar (dipesh.kamdar.ec@vvpedulink.ac.in)
By the advancement of technology and increasing demand for Computer Numerical Control – CNC plotter machines in Industries rising. Cheap manufacturing of Printed Circuit Board – PCB is basic need in electronics we will represent an affordable model of a CNC plotter machine which is able to draw circuit schematic on PCBs, any other solid surface using simple programming algorithm. At first, we will need to convert any image file or pdf file into G-code using Inscape software and then stream it to the machine using GRBL Controller. Arduino Uno is used as the controlling device for this project. The microcontroller converts G-code into a set of machine language instruction.
Home Automation using voice control
Team Members: Chapla Yashkumar, Mengar Prakash, Khagram Khushbu
Guided by: Prof. Nirmalkumar R. Bhalani (nirmal.bhalani.ec@vvpedulink.ac.in)
This project put forwards the implementation of home automation and security system using Arduino microprocessor and Android Smartphone. Home appliances are connected to the microprocessor and communication is established between the Arduino and Android mobile device or tablet via Bluetooth module. We would develop an authentication to the system for authorized person to access home appliances. The device with low cost and scalable to less modification to the core is much important. It presents the design and implementation of automation system that can monitor and control home appliances via android phone or tablet.
Node MCU based Electrical Appliances Control using IOT
Team Members: Sen Tanmoy
Guided by: Prof. Ravin N. Sardhara (ravin.sardhara.ec@vvpedulink.ac.in)
Network of Things (NoT) and Internet of Things (IoT) is a shared network of objects (things) which can interact with each other while NoT is utilized while unavailability of internet connection and IoT is utilized while providing the cyber world connection. These both the protocols widely play a paramount role in industrial automation and home automation individually. The practical goal of this article has been to engender a frugal, utilize amicable and captivating system for home automation system by the utilization of these both the systems. The web application or android mobile is fundamentally used to send the commands to the Node-MCU to control all the habitation appliances. The main feature of this system is to switch on/off predicated on android app or web application with speed control of fan predicated on temperature variation, vicissitude in intensity of tube light or lamp predicated on light intensity of sunlight. This proposed system has withal another feature is to get the status of home appliances from android mobile phone or web application.
PLC Controlled pick and place Robotic Arm
Team Members: Gorasiya Bhargav, Kataria Manali, Solanki Akshay
Guided by: Prof. Jignesh Ajmera (jignesh.ajmera.ec@vvpedulink.ac.in)
They have made a project on Robotics arm. Normally in industries, people are using robotic arm which is controlled by either hydraulic or pneumatic systems. Specialty of this arm is it is fully controlled by electronic means. There are four access control given to this robotic arm in which two stepper motors and one Servo Motor are used and control by PLC. For pick and place of objects they have used Electromagnet which is also controlled by electronic means.
Accident Reducing System
Team Members: Vaza Ashish, Kalariya Ayush and Kalariya Harsh
Guided by: Prof. Ravin N. Sardhara (ravin.sardhara.ec@vvpedulink.ac.in)
They have developed an accident reducing system. In this system they have used RFID for vehicle detection. There is an overloading detection and sensors for wrong side travelling detection using the color sensors. If vehicle is heavily loaded then because of overloading their accident taking place and to avoid this kind of accident overloading will be detected by putting the vehicles on the weigh bridge. While driving the vehicle there will be certain place where it will be placed and then there load will be calculated. If there is an overloaded then message sent through Bluetooth technology. The message will be given to the operator and this message will be transferred to the RTO so all loading of the vehicle will be detected by the RTO. Now when the vehicles are travelling in the wrong side provision is made in the left and right side of the vehicle they have put the color identification and the roadside they kept color sensors which are going to detect if the vehicle in the wrong side. Here different colors will be identified and it will be detected that vehicle is driving in the wrong side and message will be given to the RTO. This technology they are extending to the Internet of Things, from the internet one can get the idea of particular vehicle with detail of the vehicle driver and directly punishment will be given to the defaulter. This avoids occurrence of accident because of wrong side driving and overloading of vehicles.
Wireless Electronic Stethoscope
Team Members: Bhatt Pranav
Guided by: Prof. Ravin N. Sardhara (ravin.sardhara.ec@vvpedulink.ac.in)
He has developed wireless electronics stethoscope. In this instrument he has used Arduino Uno board with pulse sensor and Bluetooth module. He has developed this stethoscope so user friendly that anyone can operate it with very low cost. In this instrument it detects heart beats and shows it in android phone with ECG graph. For this he has developed his own android app. normally many smart watch comes with beat detection feature. Here this instrument developed by Pranav shows heartbeats with ECG, also counts of heartbeats can be displayed. This device is very useful to monitor patients’ details in hospital and from home and Doctors get data of patient directly on his/her mobile phones.