AS009 »
Energy is a priority for humanity, in that sense, green energies are a necessity to satisfy the energy shortage and preserve the environment. So electronic converters play a key role.
A converter management system connected to the cloud controlled by a FPGA is proposed for applications in industry 4.0. It has capabilities to integrate panels solar arrays (PVs), batteries, loads at the same time with different converters according to user requirements. That means that the proposed system manages modulation, algorithms, collect information, and distribute energy.
For example, if the user requires a PV, then the P&O MPPPT algorithm is implemented to obtain the maximum energy in the PVs.
On the other hand, parameters such as energy consumption and production of each node are important for the redistribution of energy, for this reason, this model has a single brain that is connected to each node. So, a novel control is proposed based on load balancing managed by the cloud for high-priority requests. The cloud is the single brain that controls the system and organizes the flow power among nodes. The project is focused on the Peruvian reality for places where energy has to be a priority.
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。
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.
PR021 »
這個專案預計製造了一個新的HVAC系統,此系統可針對每個人的特定喜好及感受來調整輸出之設定,使同一場域內不同位置之使用者都能感受到舒適的溫度,並保持能源成本最小化。
這個專案使用DE10-Nano Cyclone V SoC FPGA Boar作為主控制器,利用Humidity and temperature sensor獲取環境之資訊,如溫度與濕度,而太陽輻射資訊經由太陽能板或Ambient Light Sensor接收,將類比電壓透過Analog Devices plug-in boards的DC1012A-A轉換為數位訊號輸入至控制板,除此之外,此專案也會藉由感測器讀取人體之體溫、心跳速率等資訊並將其透過藍芽或Wifi module輸入至控制板,最終將獲得之資訊利用Microsoft Azure IoT儲存於雲端或是進行大數據的分析與運算,在使用者感受的方面,本專案預計設計一操作簡單之APP介面,供使用者選擇其目前對於溫度的感受以及自身的喜好設定。
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.
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.
EM002 »
The aim of the project is to solve the problems of traffic jams on the city roads. In addition, this should solve the environmental situation in the city: excessive emissions of CO into the atmosphere.
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.
AS012 »
Our project has as its main concept, the maximum use of energy through the efficient obtaining of renewable sources within the home, from photovoltaic energy through solar panels that move intelligently through neural networks that seek the maximum use of sunlight, harvesting energy obtained from strategic places such as doors, windows and the floor; and wind energy obtained efficiently through artificial intelligence and adapted to the environment. Through the use of the D10-nano FPGA as a data processing center where the information obtained from the sensors of these energy sources sends signals to actuators so that the energy is obtained more efficiently through the exact orientation where it is collected. as much energy as possible, making the fpga work as a decision-making center to control these actuators, and also by using data storage intelligently in the cloud, neural networks will be used to optimize energy collection from sources and optimize the use of resources.
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.
EM009 »
Our project is a smart system to track traffic in city streets to track traffic densities, and it can also detect driving violations.
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。