FFPCAM - Forest Fire Prediction & Conservation by Aerial Monitoring

AP069 »

According to NIFC, in 2018, a total of 8,054 wildfires occurred in California, which led to the burning of 1.8 million acres.
The 2019–2020 bushfire season in Australia caused the burning of over 46 million acres of forest while destroying over 10,000 structures.

The project intends to produce the Fire Forecasting capabilities using Deep Learning and develop further improvements in accuracy, geography, and time scale through the inclusion of additional variables or optimization of model architecture & hyperparameters to conserve and sustain forests for the future.

The data acquired from the sensors is processed by the Intel FPGA by the implemented Deep Learning Algorithm and is sent to the connected Azure-based cloud-server which will store real-time data of the factors and will transmit them to our model. The model will then analyze and produce results to be uploaded back to the cloud.

Gesture Controlled Robotic Gripper Arm through Kinect Sensor

AP073 »

There are many hazardous tasks that human needs to perform and they are dangerous to do by oneself. our product allows the user to control a robotic gripper arm through kinect sensor, which provides better control and more freedom to the user in a real time environment. This allow us humans to complete these risky operations without endangering ourselves. We designed this project to be helpful in both industrial and medical fields. The idea of the project is to design a robotic gripper arm which is controlled through gestures. The robotic arm will be controlled through a Kinect sensor connected to a PC. The robotic structure will mirror the hand and elbow movements of an actual arm as captured by the Kinect sensor.The goal of the project is to create a robot arm that fully replicates the movement of another hand and arm, and can help one remotely grip and lift an object. In this project, real-time interaction among environment, man, and machine is developed through the machine vision system and the robotic arm.

Sign Language Interpreter

AP074 »

It has two robotic hands along with arms which will work as a sign language interpreter. Sign language interpreter helps people to communicate with the people who are born deaf or have hearing loss. Over 5% of the world's population or 430 million people are facing hearing loss (432 million adults and 34 million children). It is estimated that by 2050 over 700 million people (one in every ten people) will have disabling hearing loss. So, it will be necessary to find ways to communicate with such people. Our sign language interpreter will be able to perform maximum 40-50 signs which includes words and greetings (i.e. hello, goodbye) on the basis of input given by mobile application. By this we can make communication between a normal person and a deaf person easier. For instance, a person wants to communicate with a person who can’t hear. And the person also don’t know the sign language. In that case, he/she can simply give its input to the mobile application and the robotic arm will communicate his/her message to the deaf by performing the sign language.

IOT based agriculture monitoring systems

AP076 »

Agriculture has been one of the primary occupations of man since early civilizations and even today manual interventions in farming are inevitable. There are many plants that are very sensitive to water levels and required specific level of water supply for proper growth, if this not they may die or results in improper growth. It’s hardly possible that every farmer must possess the perfect knowledge about growing specifications of plants in case of water supply. So, to have a help, an attempt is made by introducing the proposed project named Smart Sensors Based Monitoring System for Agriculture Using FPGA. Water saving, improvement in agricultural yield and automation in agriculture are the objectives of this project. By the use of sensors in project, awareness about changing conditions of moisture, temperature and humidity level will be made available for the farmers so that according to changing conditions of moisture, temperature and humidity farmers will be able to schedule the proper timing for water supply and all the necessary things that required for proper growth of plants. This system can also be used in greenhouses to control important parameters like temperature, soil moisture, humidity etc as per the requirement of proper growth of plants.

Image Reconstruction Using FPGA for Adaptive Vehicle Systems

AP077 »

AUTONOMOUS CAR - A SELF DRIVING CAR INTEGRATED WITH DETECTIONS

AP078 »

World Health Organization (WHO) reports 1.35 million people deaths in car accidents every year, and hence this is an issue of serious concern. Deaths/Serious injuries in car accidents effects the families of the individuals completely for their life time. As per the observations, the primary causes of these accidents are cellphone usage while driving, over speed, violation of traffic rules, alcoholic consumptions, bad weather conditions etc., most of these causes of accidents may be reduced, if manual operation of vehicle is reduced to the maximum possible extent.
It is already known that, a lot of research work is going on across the globe on design of autonomous vehicles/self-driving cars/driverless cars and few of them may become a reality soon on the roads. But, this technology will be appreciated when it will work with maximum efficiency and simultaneously when it is made available to the general public even.
In our proposal, we would like to design a prototype of self-driving car which uses machine learning algorithms and will fulfill the following objectives:
1) Collision warning system
2) Movement of vehicle not only during day-time but also during night time and during bad weather conditions
3) GPS based routing of vehicle
4) Lane detection
5) Object/obstacle detection
We, would like to use the features present in the FPGA platform for efficient working of the prototype. In our proposed design, we will be using DE-10 Nano FPGA board, Adasky viper(for input), 2 motor shields (cryton)(for controlling car speed), 12V battery(to energize car) and Arduino UNOcomponents.

Smart irrigation system for dense crops using FPGA

AP081 »

The main focus is on a smart irrigation system which is a vital need in today’s world. The twenty-first century deals with technology and automation, making our lives easier, adaptable, and cost-effective. In our country, India is divided into two groups of people, the agro-based farmers whose livelihood depends on food production and on the other side the consumers who depend solely on the consumption of food produced by the farmers. Both have an interdependent link. India an agriculture-based country, it is very important that the methods used for agriculture are efficient to satisfy the increasing demand. This led to the origination of smart irrigation system which is one of the smartest methods used in agriculture. It provides an automatic irrigation of crop fields and does not require human involvement. It keeps the track of the water level as well as soil moisture content. This ensures the proper and healthy growth of plants. The major factor involving agriculture is the depletion of water which keeps on increasing day by day. The smart irrigation system also resolves this issue as the water is conserved by the automated water system consisting of a sensor that senses the climatic data such as humidity, soil moisture, and water level. The agriculture field is irrigated based on this data and water flow.

FPGA implementation of measurement of minerals, moisture on plants and Pressure,temperature,humidity of crop area.

AP082 »

Prediction of nature is uncertain. This uncertainty creates an imbalance in many things just like no proper rainfall in many areas. it’s important to generate crops with the required moisture. Due to differences in areas, the rate of moisture and fertility of the soil is different in different soils. To meet the requirements of moisture, we design a device that measures moisture at the bottom of the plants with the help of moisture sensors such that we can provide the necessary amount of water using valves. For soil fertility, different minerals in different compositions are required for different crops. our design also helps in detecting and measuring nitrogen, phosphorus, and potassium using NPK sensors. By adding BME 280 sensor, we can provide additional information like pressure, temperature, and humidity. This may help farmers in saving energy and time. the proposed system is designed using Verilog and implemented on FPGA. This system might create revolutionary of being handy to the farmers.

FPGA - Based Hardware Acceleration Wireless Sensor Network For Agriculture

AP083 »

By using FPGA we can develop reconfigurable wireless sensor network node for transmitting real time data like (temperature, pressure, oxygen level etc.) with low power consumption and high Execution speed, basically wireless sensor node have three different work there are sensing, computing and communicating by using verilog HDL programming language we can program a entire wireless sensor node Architecture, after successfully complete simulation and synthesis or verification we can bout that program into the FPGA board and by using pipelining and parallel processing we can improve the speed of the computing, especially by using hardware acceleration method we can design our WSN different independent block like “sensing block with independent memory - so we can control speed of sensing ability” “computation block with independent memory example - ALU block, Error check block, FIFO registers by using independent block we can improve the flow of execution with high speed and low power ” and “communication block with FIFO independent memory - so we can control the speed of transmitting and receiving with help of PLL” by using this method we can make our wireless sensor node work different mode or different algorithm like “Sleep mode - in this state “sensing block” and “computation block” will stop temporary but still communication block will work because some we need to transmit other node data to another node inside the node there is internal timer will run and it will wake up our node” and “Idle mode - in this state all three block are stop and the internal timer will run and it will wake up our node ”by using these mode we can able to increase the life time of network so it will reduce the Maintenance cost and with help of interfacing LORA wireless communication protocol with FPGA we can do long distance transmit and receive data with low power and it's come under communication block

Sustainable Agriculture

AP091 »

We are going to build a cloud-based remote hydroponic farm environment system that will capture the raw data from the farm, remote plus autonomous control of the farm activities, automated crop growth estimation & analysis. We are already working on this project based on a microcontroller and moving towards the FPGA based implementation due to its several benefits.

Stolen Vehicle Recovery - Anti Theft Solution

AP093 »

Vehicle theft is becoming a growing problem. Thieves are very organized and can steal a vehicle in seconds as statistics show all over the world. Meanwhile, police fail to recover more than half of stolen vehicles. For criminals, it is a low-risk way of making a fortune,

According to Interpol, the use of the Internet has contributed to a dramatic increase in the resale of illicit automotive components in recent years.

This has become a worry for car owners, insurance providers, and car manufacturers.

Most anti-theft solutions are run by a vehicle's central command, which is easy to override.
Stolen vehicle recovery has become more convenient with IoT technology and GPS sensors.

IoT devices that can be installed in cars have low maintenance costs and are energy-efficient.

The devices that are small and easy to conceal can be fitted in multiple spots in a car.

They can get a stolen vehicle’s location based on the slightest signal, and they also offer a wide area of coverage.

So in our design, we aimed to show the intelligent use of FPGA and Azure IoT in detecting thefts very easily.

Features:
1) GPS tracking
2) Interactive user interface
3) Owner's Face recognition
4) Towing detection
5) Vehicle engine blocker(Blocks engine starter when jammer detected)
6) Manual & autonomous driving modes

Waste Management Monitoring System

AP103 »

This project is about a smart bin that can detect whether the bin is full or not. The status of each bin will be informed to the collector so that he can collect the bins which are full according to the sensor data.