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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Smart City
导盲小车控制系统设计
PR022 »
导盲小车控制系统设计是指通过导盲系统将周围环境中阻碍盲人出行的障碍物进行检测，通过语音提示盲人安全通过障碍物。导盲小车控制系统，运用超声波模块对周围环境进行实时检测，具有障碍物检测精准，检测效率高等特点，通过语音提示，帮助盲人安全外出。通过电子罗盘，告知盲人应当行进的方向。且结合了物联网+智慧城市的城市发展趋势，与了社会的发展相结合。同将红绿灯信息传给导盲小车，提示盲人安全的通过十字路口。
Smart City
Smart City Traffic Analyzer
AS027 »
A small form factor device for analyzing vehicle and pedestrian traffic using a computer vision workload running on the DE-10 Nano with local sensor data provided by the Analog Device plug-in board. The computer vision workload will be delivered using Azure IoT Edge and allow for extrapolating analytics to the cloud.
Other: Agriculture
Smart Farming Stick
AP040 »
Agriculture plays a vital role in Indian economy.India ranks second worldwide in farm outputs.Though crops are facing problem like pests, climate change, soil erosion, diseases water scarcity and this led to a great loss.Farmers who are able to diagnose these diseases are able to take actions on it.But for farmers who are not able to identity take improper actions.This destroys all the crops.At last we see there is huge loss of time, money and labour. Analysing the problem which farmers have been facing of years, we needed to come up with solution in which human interaction is minimal.Smart farming have already made its place in the society, to add to that we have come up with this improvised smart farming technique.Smart Farming Stick (SFS) by using these techniques our system will work as a guide, to assist the farmers by giving information.Farming is about risk calculation – But what if the risk can be calculated and cured beforehand.Analysis can help you with identifying the weakness and strength of the soil, resulting in more revenue generation and saving ample amount of time. Automated solutions and technology offer greater accuracy based on more efficient data collection and monitoring.
Health
便携式糖尿病患者饮食监测系统设计
PR023 »
1、光谱数据采集模块：便携式数据采集终端的关键是糖尿病患者摄入食物的近红外光谱数据，由于不同的物质分子结构不同，导致它们选择性吸收不同频率的近红外光，所以物质的近红外光谱中就包含着物质的组成成分等信息。针对糖尿病患者需要知道所摄入食物的含糖量这种情况，需要综合考虑常用的嵌入式技术，同时满足后续近红外光谱数据相应处理算法的精度要求。
2、数据处理模块：由于糖尿病患者饮食监测系统的数据采集终端便携性的要求，所以数据处理模块的选择应结合应用场景的实际需求，既要注意工作效率也要符合经济可靠这一标准。
3、光谱数据处理算法：由于待测物质的近红外光谱与其有机化合物的组成和其分子结构信息存在着对应关系，同时这种对应关系可以通过函数来近似表征。如果使用机器学习中的一些算法来建立起对应的数理函数模型，就可以通过物质的近红外光谱来得到物质的有机化合物组成和分子结构信息。但是针对糖尿病患者需要知道所摄入食物的含糖量这种情况，需要从常用的多元线性回归（MLR）、支持向量机（SVM）、主成分分析（PCA）和偏最小二乘法（PLS）等算法中找出适合本系统的光谱数据处理算法。
Health
FPGA for Healthcare and Wellness
AP041 »
Real-time analysis of medical diagnostics using AI is crucial in healthcare systems. Advanced sensors with deep learning networks need to analyze the diagnostics in set time constraints. The need for high-speed real-time systems is imperative. Generic computer architecture slows down this process. Using low-latency networks with FPGAs will decrease the analysis time by reducing idle cycles, and working on resource utilization. Digital image processing (DIPs) fares better on FPGAs.
Through time, FPGAs are increasingly being used for computationally intensive tasks. Image processing is one such task. To improve the performance of Digital Image Processing systems, it is necessary to implement them on hardware instead of software. FPGAs are inherently good in parallel processing because of the architecture. Incidentally, image processing tasks like feature detection and extractions are highly parallelizable-which makes FPGAs the ideal candidates for this task. We have seen how the healthcare systems had been overwhelmed during the pandemic. Early detection plays a crucial role during the onslaught of highly contagious diseases. Containment and early diagnosis can reduce the losses inflicted during a pandemic. Using the FPGAs and cloud storage, the team can create a robust image detection system to detect the presence of the disease, and use the cloud to distribute relevant information to the concerned doctors. Image detection with CT, MRI, X-Ray scans helps in detecting the disease earlier instead of later. The same image detecting algorithm can be used for similar respiratory diseases that have overlapping symptoms, with minimal changes. Additionally, the cloud ensures that data from across the world is shared with the relevant specialists-removing barriers in healthcare. The accelerometers and sensors will be used to get general information about the body which is important for overall health; for example- temperature sensors to detect temperature, accelerometers for gait analysis and mobility(mobility and gait are important factors to ensure the health and well-being of older patients- fall risk assessment and balance evaluation being a few examples) etc. All the sensors will be used to monitor important aspects of the patient’s health.
This project is a step towards a broad spectrum well-being platform for patients from all walks of life, making healthcare more accessible among the masses.
Food Related
SmartCook
AP042 »
Cooking is a strenuous, complex, and tedious process. We often tend to keep something to cook and forget. And sometimes when just beginning to learn cooking we don't exactly know that which dish takes what time to cook. Whatever the case, these result in the charring of the food in simpler cases and kitchen fires in the more appalling ones. So why not make it more advanced and simple for the user by automating it? The project idea focuses on the development of a product that will act as a monitoring and alert system for cooking processes. Though there are many existing products like automatic rice cookers, microwave ovens, etc. But all of them are application-specific, bulky, and expensive. There are also hazards associated with many of them thus making the user skeptical about using them. Our product is an add-on plug-and-play device that you can use with any of your existing utensils, thus making it a cheaper, more user-friendly, and versatile option. The design of the clipper is one of its unique features which have been applied for a patent. The uniquely designed clipper will have an in-built microcontroller and various sensors to monitor the food item being cooked. Depending on the sensor data and factors like the quantity of the food item, type, etc. the device will ring a buzzer to alert the user and also send a notification on the Smartphone. This will make arduous and complex cooking procedures simple for beginners. The user needs to plug or attach the device to the utensil in which they are going to cook the food item by simply clipping it on the wall of the vessel. Then, the user can select the parameters of the dish he/she wishes to cook from an app on the Smartphone. Then the magic of Internet-of-things comes into play. The device is all set to accomplish its task and will alert the user whenever the food requires attention, whether it is stirring in the middle, reducing the flame, or turning the gas off as the dish is ready. It will prevent unnecessary wastage of food due to getting burnt, prevent unfortunate fires in the household, and lead to a more comfortable experience for the user. Controlling the flame and auto-turning off of the gas stove is also an added feature that can be utilized as a part of cooking automation also allowing to remotely controlling the device. This device makes use of modern-day advanced technologies like the internet of things, automation, and furthermore like machine learning to make it more adaptable. The best part about the device as a solution to this frequent problem is not just its cost-effectiveness and simplicity of use, but sustainability and eco-friendliness. The device is powered by a small battery and does not consume a lot of power. It can further be made completely eco-friendly by removing the battery and using technology to draw power from the ambient heat around the stove which essentially gets wasted, enabling the use of a wasted energy form. It will be a great everyday product with all the households as target customers due to its price and ease of use.
Health
高精度多路人体生理参数测量系统设计
PR024 »
本研究项目核心在于生理参数采集传感器的选择、信号调理电路设计、电源模块设计以及高速通信接口设计等关键技术环节，为此，提出如下技术方案；整个研究过程的技术路线如下：
1、针对市场上现有生理参数测量仪产品的功能特点，以及当前人体生理参数测量的相关研究成果，针对嵌入式技术初步确定高精度多路人体生理参数测量系统实现方案；
2、对基于FPGA技术的高精度生理参数测量系统进行硬件开发，包括具体的测量数量（包括心率、皮肤电反应、胸/腹呼吸、血压、动作和环境温湿度）的确定，相关生理参数采集传感器的选择，并针对各传感器进行模拟微弱信号调理电路的设计，电源电路的设计，高速通信电路的设计等；
3、对基于嵌入式技术的高精度生理参数测量系统的软件设计和实现；
4、设计用于显示、存储数据的上位机软件，以及高精度生理参数测量系统硬件和上位机软件联合调试。
Food Related
Soil Monitoring and Irrigation Control System Using Internet of Things
EM013 »
This project recommends Internet of Things based sensors network for cultivation use. This Sensor System Consist of sensor to detect wateriness of sand, sensor to detect temperature of soil, and ph. sensor for soil. This all sensor connected to each other FPGA kit that will be communicate with Azure cloud . After uploaded to Azure IoT, The agriculturist can access all the
data on his mobile phone and tablet. This system also
controls water necessity and fertilizer necessity for these
sensor data for different type of crop in different time of
year. The saved data of sensors can be further inspected and
used for future uses. This IoT based methodology provides
atomized irrigation and fertilizer usage in actual time to
farmer which is very useful.
Smart City
Realtime energy monitoring and reporting
AP043 »
This project aims to develop an always-on device that measures raw energy usage at the ingress power line (current, voltage), processing of this realtime data (PF etc.) and transmitting the processed data via WiFi to the internet or locally.
Scope is as below,
FPGA:
- Code that collects and process raw values from ADC.
- Code that interfaces with the ESP32
ESP32:
- Code that interfaces with the cloud
Server backend:
- Code that runs on the cloud that collects data from these ESP32s.
Frontend:
- Simple dashboard that displays current and historical energy usage.
Hardware scope is as bellow:
1. Analog interfacing circuit that interfaces the FPGA to the powerline.
Smart City
Automatic garbage classification management system
PR025 »
本项目通过图像识别检测医疗垃圾类别并对其进行分类投放。通过医疗垃圾分类尽量实现医疗废物再利用，节约资源，同时减少对环境的危害。