Health
IOT BASED ELECTROLYTE BOTTLE
AP017 »
During recent years, due to the technological advancements many sophisticated techniques has been evolved for assuring fast recovery of the patients in hospitals. Need for good patient care in hospitals, assessment and management of fluid and electrolyte is the most fundamental thing required. Almost in all hospital, a nurse is mainly responsible for manual monitoring of the electrolyte bottle level as most Hospital uses simple electrolytes bottles with no indication and electrolyte is the most fundamental thing required in hospitals and unfortunately most of the time, the observer may forget to change the bottle at correct time due their busy schedule due to which reverse blood flow starts from patient to electrolyte bottle due to which it can cause death of patient.
To overcome this critical situation, a IOT based automatic alerting and indicating device with portable cover is proposed.
We will design a portable cover system for such electrolyte bottle. Those Wearable cover will have non contactless water level sensor
along with GPS system on sides of bottle and non contactless water level sensor will detect level of fluid inside bottles. Such data will also send to nurses and/or doctor`s mobile through GPS system and they can start or stop the fluid and also will have monitoring fluid condition with security password also.
This project is completely IOT based which will break the wall of traditional methods used in Hospital and help in more fast and securing way and helps in fast recovering of the patients in case of emergency and prevent the panic situation in the hospital causing during manual monitoring of Electrolyte Bottle and will be a great assisting to the nurses which will reduce their stress and will be a great help to their work and and will focus on hospitals to equip with advanced Technology.
In, Hospital ICU, CCU, NICU, OPD, OT, most of all department of hospital required such kind of automatic monitoring and indication system. Also Health care industries will one of the users. such monitoring system can be useful in small , medium and large size of hospitals and also it useful during home care. This device will decrease the chances of patients hazards and increases the accuracy of health care in hospital. This is of high advantage to the patients especially during night times. This system also avoids the fatal risk of air bubbles entering the patient’s bloodstream, which is a serious threat as air bubbles in blood can cause immediate death. Such a device will create assurity of non-harm condition to patients and also helpful to monitoring of data and such data can be stored and will be useful in future. This project will be a great help in preventing hospital nurses to avoid direct contact with patients in hospital.
Smart City
A design for future city
AP018 »
A city with IoT connectivity, autonomous car is a city of the future.
This project will try to accelerate network architecture search algorithm on FPGA which will usually take hours and even days on decent GPU.
Some of the project modules which are currently being worked on :
https://github.com/promach/gdas
https://github.com/promach/DDR
Transportation
eego
AP021 »
With the world moving towards electric vehicles to combat the problem of emissions from vehicles, this project intends to build a battery based autonomous bot by adding AI to the bot with an emphasis on solar power along with battery management. Though there are a lot of organizations trying to contribute or gain value in the autonomous domain there is no single open project to understand and contribute to autonomous bots. This project intends to fill the gap by building a bot with AI and smart energy capabilities. The first level scope is to make the bot navigate by itself between two points in a defined environment i.e. L3 autonomy level and charge itself via solar power. This involves various sensor inputs for sensor fusion; wheel encoder for speed control, Object recognition for obstacles using camera, LiDAR for depth , RADAR for trajectory tracking and a powerful edge AI device for compute. The PID feedback control for the drive is difficult to achieve via software, so this will be developed on FPGA as well as any hardware acceleration ( RADAR data processing for instance) required for sensor fusion. Efficient solar power and battery management will also be targeted. Unknown obstacles will be reported to the cloud where models are trained ( by other bots as well in larger scope) and new models will be reloaded into the bot for better AI capabilities. Note: ROS is tentative for the sensor control, PID on FPGA for drive control, RADAR usage might be out of the scope based on availability of the sensor.
Smart City
Smart traffic light Control system Using FPGA
AP022 »
Now a days, controlling the traffic becomes major issue because of rapid
increase in automobiles and also because of large time delays between
traffic lights.
So, in order to rectify this problem, we will go for density based traffic
control system.
Industrial
Conditon-based monitoring using FPGA
AP023 »
Condition-based monitoring device for industrial setup using FPGA
Water Related
Design and Development of FPGA based Smart Sensors for Water Quality Analysis
AP025 »
Water is indispensable for the survival of every life. It needs to be protected and preserved for generations to come. Water harvesting and inadequate management of this natural resource will also contribute to its contamination. The prevention of fluorosis, a chronic illness resulting from excessive fluoride consumption, requires monitoring of all water sources in underground chloride tanneries in endemic areas. The deployable field color analyzer based on design low cost, smart sensors based on portable devices for determining chloride and lead in water. DE10-Nano Cyclone V SoC FPGA Board based set-up has been built for access through mobile apps and display the concentration of the measured sample. It has the advantages of the Internet of Things (IoT) for real-time deployment and continuous monitoring. The smart sensors developed can be integrated with it for continuous tracking of chloride, lead measurement and water quality.
Other
Process variation study on Nanosheet FET
AP026 »
Process variation study on Nanosheet FET,
Industrial
AI IOT Driven CNC Machine optimisation
AP029 »
Using an FPGA to improve the motion control of CNC machines under dynamic loading.
Smart City
Design
AP032 »
Cloud & azure
Smart City
FPGA BASED SMART TRAFFIC SYSTEM FOR SMART CITIES
AP033 »
Modern world having the issue to controlling the traffic at major cities for rapid increase in automobiles and also large time delays between traffic lights. So, in order to rectify this problem, we will go for different modes of traffic light control system. In this article, we have three modes i.e., Normal mode, Density mode, Emergency mode, IOT Mode.
Food Related
Smart and IoT Solutions for Agriculture and Farming
AP038 »
An automated & central system to maintain following Organic product qualifications set by EU Council Regulation (EC) No 834/2007 & COMMISSION REGULATION (EC) No 889/2008
1. Respects nature's systems and cycles and sustains and enhances the health of soil, water, plants and animals and the balance between them
2. Makes responsible use of energy and the natural resources, such as water, soil, organic matter and air
3. Aim at producing products of high quality
4. Aim at producing a wide variety of foods and other agricultural products that respond to consumers’ demand for goods produced by the use of processes that do not harm the environment, human health, plant health or animal health and welfare.
5. The maintenance and enhancement of soil life and natural soil fertility, soil stability and soil biodiversity preventing and combating soil compaction and soil erosion, and the nourishing of plants primarily through the soil ecosystem
6. The maintenance of plant health by preventative measures, such as the choice of appropriate species and varieties resistant to pests and diseases, appropriate crop rotations, mechanical and physical methods and the protection of natural enemies of pests
Smart City
Project
AP039 »
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