Other: Robot
Example: AlphaBot
PR001 »
Robotic era is approaching.
In order to rapidly control the robot, we hope to use the FPGA fast and easily reformat feature as the control platform to make the robot control more convenient.
We provide user friendly mobile phone operation interface for remote control by using the blue tooth. The robot has the function of image recognition and transformation, which is the prototype of future robots in human life.
Health
Remote dynamic ECG monitor
PR006 »
Using ADI device and Intel FPGA to measure and process human body ECG signal, upload the signal stream to the cloud for remote diagnoses.
Autonomous Vehicles
Design of Heterogeneous Accelerator for Traffic Sign Classification Algorithm Based on FPGA
PR007 »
This project intends to achieve heterogeneous acceleration of traffic sign classifier algorithms. The recognition of traffic signs is an important part of automatic driving. For traffic sign recognition algorithms, the accuracy of convolutional neural networks is in the forefront, but Existing neural networks and deep neural networks both rely on high-speed parallel computing equipment with high cost and high power consumption. Therefore, it is of practical significance to find a low-cost and alternative to high-cost GPU acceleration solution. FPGA acceleration is one of the choices.
Other: Hardware Acceleration
輕量型卷積神經網路之硬體加速器設計
PR008 »
本研究提出透過軟硬體協同設計(hardware software co-design)將卷積神經網路(Convolutional Neural Network, CNN)加速器實現於FPGA (Field Programmable Gate Array, FPGA)中的方法。本研究主要分成三個部分來實現：在硬體方面，(1)透過Avalon 匯流排將卷積神經網路模型中的遮罩、權重參數與影像載入至處理單元模組中，進行CNN中卷積與池化的運算，(2)處理單元模組的設計透過平行處理架構提升模組的運算效能，並且透過遮罩與權重的重複使用和定點數運算，有效節省記憶體空間的使用。而在軟體方面，(3)透過NIOS實現CNN中的全連結層，並將此模組與相關硬體模組進行整合，進而實現完整的CNN加速器。從實驗結果可以得知，本文提出的設計架構可以有效提升模型運算效能，並且能夠節省記憶體空間使用量。
Smart City
Smarthome Control System
PR009 »
Smart home has become a trend of housing in the future. At present, most smart home control systems are closed systems developed by major developers. With specific interfaces and communication protocols, they cannot be well managed when they have problems like not receiving real-time data from sensors when there are too many devices.
The design is intended to implement smart home control and data acquisition in the house covered with Wi-Fi with FPGA Cloud Connectivity Kit platform based on DE10-Nano. Data monitoring and smart home remoting control functions are implemented with Microsoft Azure IoT and AI tools in cloud.
Data Management
拥抱未来
PR010 »
电子工程系参赛队伍
Autonomous Vehicles
AEB自动紧急制动系统
PR011 »
基于车侧的自动紧急制动系统，采用摄像头、毫米波雷达以及人体红外探测器为主要传感器，判断车辆前方出现的人以及其他生物，根据距离等情况进行决策是否进行制动动作。
Water Related
River Water Surface Floating Material Monitoring System
PR012 »
River water surface floating object monitoring system uses sonar probe to transmit and receive sound waves as the front end of the system detection. When working, the master control device controls the sonar probe to transmit a certain frequency wave, when there is a floating object in a specific area, the wave transmitting forward meets the obstacle and will be reflected to the sonar probe, the master control device can calculate the distance s from the sonar probe to the floating object according to the time difference t from transmitting to receiving and the propagation speed v of the wave in the water, and the properties of the floating object can be judged by analyzing the difference between the return wave and the transmitting wave. At the same time, the main control device receives the information returned by the sonar probe, controls the camera device to shoot down the image of the specific area, and transmits all the above information to the cloud through the wireless transmission device. The function of monitoring floating objects on the water surface of the river is completed.
Smart City
Self-Steering Pan-tilt Based on Sound Source Localization
PR013 »
Cardioid directivity microphone has good performance and is used in many scenarios, but it has to adjust its direction when the sound source moves. Or in a videoconferencing system, the camera always need to point to the speaker. Sound source localization (SSL) technology will be used as a guidance to control the pan-tilt carrying the microphone or the camera or something else to point to the sound source. Echo cancellation (EC) and beam forming (BF) will be used to enhance the signal quality. SSL, EC and BF technologies will be developed in Intel FPGA configured with a microphone array. Analog Devices plug-in boards will be used to control the motors for pan-tilt adjusting.
Health
Family health assistant
PR014 »
Integrate the sphygmomanometer, stethoscope and thermometer into one platform and realize the intelligent evaluation of measurement results. At the same time, it will have the function of reminding measurement every day, upload the measurement results to the cloud and form a report. Doctors in the hospital can realize remote consultation by observing the daily measurement data, give reasonable medical suggestions and provide medical help for patients who are inconvenient to move
Smart City
smart home
PR015 »
智能家居控制系统，是以智能家居系统为平台，家居电器及家电设备为主要控制对象， 利用综合布线技术、网络通信技术、自动控制系统、音频技术等将家居生活有关的设施进行高效集成，提升家居智能、安全、便利、舒适，为我们的生活带来很的方便性。
Smart City
智能安防中的异常行为检测
PR016 »
基于FPGA和云端计算的智能安防系统。
在数据端利用FPGA实时对摄像头采集到的图像数据预处理，然后将处理后的信息传入云端，利用云端训练好的AI模型中进行异常行为判断，然后将判断结果返回到FPGA数据端进行警示，报警等相关操作。