Autonomous Vehicles
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.
Autonomous Vehicles
Adaptive Cruise Control
AP079 »
Our objective is to build an Adaptive cruise control (ACC) System that will help the vehicles to maintain a safe distance and to stay within the speed limit. This system will control the car's speed automatically that will assist the driver and make his involvement in driving the vehicle to minimum.
Smart City
AUTONOMOUS RAG PICKING BOT FOR GARBAGE MANAGEMENT IN SMART CITIES.
AP080 »
Plastic pollution has become one of the most pressing environmental issues, as rapidly increasing production of disposable plastic products overwhelms the world’s ability to deal with them. Plastic pollution is most visible in developing Asian and African nations, where garbage collection systems are often inefficient or nonexistent. But the developed world, especially in countries with low recycling rates, also has trouble properly collecting discarded plastics. Plastic trash has become so ubiquitous it has prompted efforts to write a global treaty negotiated by the United Nations.
Did you know that every plastic that is being produced in the world still exists today? Half of all plastics ever manufactured have been made in the last 15 years.Millions of animals are killed by plastics every year, from birds to fish to other marine organisms. Nearly 700 species, including endangered ones, are known to have been affected by plastics. Nearly every species of seabird eats plastics.There is no natural process to degrade plastic but we can recycle them.so, we wanted to design our bot to collect and dump them into the trash.
Water Related
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.
Other: AGRICULTURE
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.
Food Related
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
Other: Sustainable Agriculture
SGAIA - Smart Greenhouse Automation using IOT and AI
AP084 »
The proposed greenhouse system is a fully automated system that has all the measures for the functioning of a green house. The greenhouse’s main brain would be the Terasic DE10-Nano FPGA Cloud Connectivity Kit. It would be responsible for all the activities like collecting sensor data, gathering images for analysis of the growth of the plants, operate actuators and also to connect to Azure IOT cloud to send the sensor data. There would be many rows of plants in the greenhouse and each row of plants would be allotted for a specific crop type. The sensor network connected to the main board would be used to collect data like to receive sensing information, including environmental parameters and plant phenotyping data. There would various Analog Devices plug-in cards connected for collected temperature, humidity, pressure, light intensity, gas, soil moisture, pH values. All these values would be recorded using a data logger. The recorded data would be used for processing and post-data analysis. There would be over the head cameras connected to collect information on the growth of the plants using pattern recognition. All the analysis using deep learning will take place on the edge on the DE 10-Nano board. It would result in low communications costs and improved response times. The analysis results would be transmitted to the Azure IOT cloud services so as to make them available for the users through cloud dashboards and smartphone applications. There would be robotic sliding arm connected over the row of plants which would can used for various activities like seeding of the plant seeds, delivering minerals like NPK(Nitrogen-Phosphorus-Potassium) directly to the roots of the plants, analyzing the plants for diseases in them and also for the removal of weeds. The robot would be a gantry system with three degrees of freedom. The end effector of the gantry robot would be attached with types of actuators for uses like watering, nutrients delivering system. The whole farm would be inside a structure made of glass or fiber. The roofs of the greenhouse would be fitted with sun shades which can be operated on the basis of sunlight required. The structure would be fitted with ventilation fans to regulate the flow of air. The structure would help to control factors like excessive sunlight, pests and other external factors that might affect the growth of plants.
Health
DIGITAL EYE FOR AID OF BLIND PEOPLE
AP085 »
Every citizen has their basic rights to live a healthy and independent life likewise the blind and partially sighted people should lead their lives independently.
Through our project we aim to help the blind and visually impaired people which makes them independent to a certain extent. The aim is to use the FPGA and Microsoft cloud to build a prototype of the device. The idea is to guide the individual by giving the necessary instructions to reach their location and also by using image processing techniques, the device will be able to convert the text to speech which makes him/her independent to the most extent. Earlier there are projects which are aimed at obstacle avoidance using Ultrasonic sensors whose range is not good enough to roam on the roads. There are also projects which need implantation of electronic chips in the visual cortex to make the blind people see but the implantation is expensive which needs highly skilled surgeons. Our Prototype plan includes the glasses , blue tooth pen-cam and headphones.
So we want to design a cost effective and portable device which performs the 3 tasks:
1.OBSTACLE AVOIDING
2. READING THE TEXT THE DEVICE HAS CAPTURED WITH PERMISSION OF THE USER.
3. NAVIGATION SYSTEM AND SAVE DATA ABOUT THE FREQUENTLY VISITED LOCATIONS AND GUIDE THEM IN FUTURE.{ i.e the device has to be trained to save the frequently visited locations such as workplace, hospital etc.,.}
Water Related
Water Quality Analyzer
AP086 »
Water is a vital factor in human life and for the existence of other habitats. Easy access to safe water for drinking, domestic use, food and production is a civic health requirement. Therefore, maintaining a water quality balance is very essential for us. Otherwise, it causes serious health problems to humans. Water contamination has been studied as one of the leading causes of death and illness in the world. Many people die from contaminated water every year. One reason is that public and government ignorance and the absence of water quality checking systems cause severe medical issues.Water contamination is also a serious issue in industries, irrigation and aquaculture.
Traditionally, water quality detection is done manually when water samples are taken and sent to the laboratory, but this process requires a lot of time, cost, and human resources. These techniques do not provide real-time data. By considering these challenges, we have come up with an idea to design a Water quality analyzer to check the quality of the water used for different purposes.
The Process starts from taking the real time data from the water bodies using sensors and type of water need to be checked must be selected from the mobile app. FPGA Board processes the collected data and compares it with the standard data in order to assess the water quality.The quality parameters of the water and the quality of the water will be sent to the mobile app using IoT Technology. If the quality of the water is below the desired levels, an alert will be sent to the user. In this way we can have continuous real time water monitoring.
Autonomous Vehicles
Autonomous Disinfection Robot
AP087 »
In recent years, international socioeconomic development and medical reforms have permitted the medical industry to move toward true "intelligence". The outstanding developments in medical technology have helped people overcome many challenges in life. Especially, during the global pandemic of COVID-19, besides the development of vaccines, the application of advanced technical technologies also helps people slow down the increase of the disease. The incorporation of greater artificial intelligence, internet of things in to develop robots that automatically disinfect the air and surfaces of hospital environments can help reduce the human resources spent on environmental cleaning and disinfection and minimize the risk of occupational exposure for staff. These robots also facilitate informatized management of environmental disinfection, reduce costs, and increase the efficiency of disinfection efforts.
In this study, we propose to deploy a type of autonomous disinfection robot with the ability to automate tasks such as: Automatic scene recognition and disinfection; Automatic movement and avoids obstacles; Collect patient's body temperature and blood oxygen to assist in building a chart to monitor the patient's health automatically.
The autonomous disinfection robot applies AI algorithms and robotic technology to the field of hospital disinfection. In essence, the model is a disinfection robot with a high level of independent self-sensing AI. The robot model uses intelligent scene recognition, independent sensing in the disinfection process, real-time disinfection process monitoring, intelligent planning, independent execution, and evaluation of the results. An intelligent disinfection robot can compensate for the shortcomings of existing disinfection methods, improve the quality of disinfection, and reduce the probability of infection.
Food Related
Herbal plant recognition and monitoring
AP088 »
The project aims to recognize common herbal plant in the Philippine setting, both grown by gardeners and in the wild. Our project also aims to check the viability of the area for growing these herbs by monitoring how many are growing in the area/presence of clustering, plant part status such as checking leaf condition such as drooping and wilting, and presence and absence of invasive plants/animals that can affect the survival of the herb using computer vision. Other parameters such as humidity and sunlight will also be monitored using ADI boards provided. The data collected will be sent to Microsoft Azure platform where partner NGOs and stakeholders can view the data and insights generated to help make sound decisions that will benefit the community they're helping.
Food Related
Mini Biogas Plant with AI Implementation for Parametric Optimization of Biogas Yield
AP089 »
According to the Food and Agriculture Organization (FAO) of the United Nations, one third of the food produced is wasted and the financial costs of food waste in the world could total to USD 1 trillion each year. According to United Nations Environment Programme (UNEP), approximately 1.3 billion tonnes of food is wasted annually. Besides, Asia produces 50% of global food waste with China, Japan and South Korea alone contributed to 28% of the global disposed food. According to the Future Directions International (FDI), South and Southeast Asia on the other hand contributed to 25% of global food waste. In Malaysia, the food waste produced is 2,921,577 tonnes per year from households alone. This is equivalent to 91 kg of food waste per capita per year generated in Malaysia. This is concerning since Malaysia is the highest country to produce the amount of food waste among Southeast Asia countries.
To address the problem of excessive food waste in Malaysia, biogas could be a solution. Biogas is a renewable energy source produced by the breakdown of organic matter such as food waste to produce mainly methane and carbon dioxide gases which are environmentally friendly. Another end product which is the digestate can also be used as fertilizers since it is rich in nutrients. Globally, coal and natural gases are mainly used to generate electricity – even cooking. With the used of biogas to occasionally replace these two resources is seemed to be more sustainable since biogas is renewable energy – more resources could be saved.
In line with the aim of this year's InnovateFPGA competition, which is "Enabling the Edge for a Sustainable Future", a mini biogas plant with AI monitoring features capable of producing methane gas from food waste through Anaerobic Digestion (AD) is proposed under the food waste category to help address the problem of excessive food waste particularly in Malaysia. This mini biogas plant will be smaller compared to the other biogas powerplant in industry which means it is also portable and just can be put in the backyard. All the food waste generated daily in the household could be ‘reused’ for two main purposes: heating (for cooking) and electricity. Several key parameters are affecting the AD process: pH, temperature, C/N ratio, Volatile Fatty Acids etc. The use of FPGA in this project is to provide an Artificial Intelligence (AI) implementation to the system to optimize the biogas yield from the food waste by controlling the pH and the temperature.