Food Related
农作物生长环境数据探测器
PR031 »
项目将开发一种农作物生长环境数据探测器，使用云连接套件并搭载ADI提供的土壤水分、pH 值和温度测量评估板和3通道光检测评估板，去田园的农作物之间采集光、水分、温度、湿度、土壤pH值等数据，同时定位采集地点，将生长环境数据连同位置等信息通过Wi-Fi模块上传到Azure LoT。其定位将通过UWB定位模块实现。在云连接套件中，Cyclone V的FPGA部分主要用于数据处理、无线通信等，而HPS部分主要用于控制从设备、执行算法，当然这二者之间可以互补，项目将逐步优化，把需要反复执行的数据处理等工作尽量交给FPGA部分，HPS部分则侧重协调调度和控制。本项目的预计使用场景是大规模大棚种植园。
Health
基于FPGA的手语翻译系统
PR032 »
Smart City
Intelligent Pavement Damage Detection System for Urban Roads
PR033 »
Pavement damage on urban roads not only affects the appearance of the road surface and the comfort of driving, but also easily expands to cause structural damage to the road surface and shorten the service life of the road surface. If it is not repaired in time, it will cause local accelerated damage to the road surface, cause serious traffic accidents, and cause a large number of personal injuries and economic losses. In order to reduce such injuries and realize the sustainable use of urban roads, reasonable and timely road maintenance and management are particularly important, and road damage detection is the primary task of road maintenance and management. Therefore, this project designs an intelligent road damage detection system for urban roads based on 3D lidar and cameras, collects and analyzes road data in real time, and gives the damage results objectively and accurately.
The intelligent road damage detection solution we conceive uses multi-sensor fusion and uses FPGA edge hardware to accelerate processing and upload to the cloud server instead of manual detection. It can display the GPS location of road damage in real time, as well as accurate detection results. In addition, the road surface can be spliced to form a vectorized map, and the road surface condition index PCI can be calculated according to the size and shape of the defect, and maintenance personnel can be notified to make timely repairs.
Smart City
基于FPGA的3D人脸特征传输系统
PR034 »
随着社会的发展，人工智能在人们身边出现的越发频繁，智慧景区以及智慧城市也是当前的人们发展趋势，本设计顺应需求，针对部分场景，如景区中的游客流量、游客、性别等基础信息的统计，或无人超市中人物信息的识别以及保存，并将这些数据备份、发送到云端，并在app中对部分数据进行实时更新，在做数据统计与分析时，利用云端中存储的数据，可以很全面且客观的分析出现状，这些工作靠人力实践是非常耗时耗力的。在必要时，还可调用出对象的信息和图像，对图像进行伪3D显示，大大提高了人们对图像的感知力。基于此类功能以及特性，本设计可广泛推广于安保、有人员统计需求类的场景。
本设计以 DE10-Nano 开发板为平台，结合当前最新推出的 DE10 云套件 RFS 子卡搭建了一款物联网系统，在此基础之上加入摄像头、液晶显示屏以及四片半透明介质，组合构成对象人物信息提取系统和佩伯尔幻像伪全息人物显示系统，并通过在arm核中移植linux系统以及在此之上配置的opencv和openvino环境对获取的图像信息进行处理分析，所得到的数据传回fpga，通过云系统发送到app，实现实时对部分数据的监控，每隔一段时间会发送数据到数据库储存供以随时调用。并可通过调用信息，读取对象人物的信息，选择对象的照片进行全息显示。
Industrial
基于FPGA的多路JPEG-LS无损解压缩
PR035 »
随着相机技术的发展，像素分辨率与帧率都得到了大幅度提高，由此需要处理的图像数据量也随之越来越大。在一些如地理信息、医学影像、卫星侦察领域，因数据传输通道变化不大，所以需要对传输的图像数据进行压缩后传输，并在终端解压缩进行图像还原。而在图像压缩中，JPEG-LS具有显著的优势，它比JPEG2000的算法复杂度更低，比JPEG的压缩性能更强。所以JPEG-LS算法具有硬件易实现，复杂度低，同时具有较好的压缩性能。
基于JPEG-LS的压缩目前多采用硬件实现方案，但其解压缩却多采用软件解码方式，而软解存在CPU资源占用过多、功耗较大以及处理实时性等问题，尤其在多路软解下问题更突出。据此提出本项目“基于FPGA的多路JPEG-LS无损解压缩”以满足多路视频解码的实时性。
项目拟采用多路并行处理结构，对接读取的云端多路图像数据。系统由多路相机、服务器、FPGA DE10-Nano套件以及其他配套电路组成，拟实现对4路1080p@50Hz的视频压缩码流进行实时解码。其中压缩码流与解压码流均通过网络与服务器互联。
该方案在JPEG-LS解压缩的速度上有较大提高，尤其在多路图像数据（高帧率、高像素）的处理时，效果更为显著。通过该项目的实施可以较好体现FPGA的重构性、实时性、低能耗等性能。
Other: floating waste collector
Self-driving Floating Waste Collector
PR036 »
Our project will be a self-driving boat that collects garbage floating on water. The boat will have a camera mounted on it, which sends image captures to the DE10-Nano board to analyze where, in relation to the boat, the garbage is. The board then controls the motors of the boat to drive it to the waste and picks it up. There will be a Wi-Fi system built-in so that the board can send live video feedback to a connected PC, while also receive commands from the PC to control the boat, in case it goes out of control. The garbage collection is, under most circumstances, fully automated. It uses sensors to detect if the collection is approaching its max capacity, and will return to a set location near land if it does, to dump out the trash and prepare for the next round of garbage collection. We aim to utilize edge computing for image recognition on objects floating on water, to distinguish whether they are actually garbage or not, confirm their location, and compute how to get there.
Smart City
基于FPGA的老年人防跌倒系统的实现
PR037 »
项目主要以FPGA为核心控制系统，通过三轴加速度传感器实时监测老人的运动状态，当老人发生跌倒后，在一定的时间内老人没有通过按键重置系统后，系统将通过GPS系统获取老人当前位置信息，通过GPRS系统呼叫紧急联系人，并且将位置信息通知短信形式发送给其紧急联系人。
Smart City
Digital Twin System Applied to Mobile Robots
PR038 »
This project proposes a digital twin system design method applied to mobile robots.
This method enables synchronized actions between real and digital mobile robots. The
real robot system designed in this thesis uses DE10-Nano board as the main hardware controller, which has the advantages of low cost and low power consumption. The digital robot is built in the Gazebo simulator, allowing the robot simulation can have high-quality rendering effects and high-performance motion performance.
In this project, both real and digital robots use Robot Operation System (ROS) as the main operating system. At the same time, the digital twin robots will also transmit data and communicate through ROS. By collecting the motor voltage and current signals of the real robot and the encoder speed, the fuzzy clustering (FC) method is used to establish a fuzzy identification system of the motor. Then applies this motor fuzzy identification system to a digital robot, so that the digital robot can simulate the state of a real motor.
Smart City
Environmental Humidity Control System Based on RISC-V
PR040 »
Use Intel's FPGA development platform to design an intelligent environment adjustment system driven by a 32-bit RISC-V architecture processor. The system embeds the RISC-V soft core in the FPGA development platform, drives peripheral sensors, and realizes the shortest path optimization algorithm. Finally, it can control the mobile platform in a specific environment and realize the detection and adjustment of environmental humidity with the optimal path. Real-time obstacle avoidance function is realized by distance sensor during movement. In the process of system development, the system will be tested and improved.