Papers Raspberry Pi 3
“Raspberry Pi 3” 태그가 달린 논문 21편 · 필터 해제
TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response Scenarios
Designing efficient neural networks for embedded devices is a critical challenge, particularly in applications requiring real-time performance, such as aerial imaging with drones and UAVs for emergency responses. In this…
Aerial Scene ClassificationCPUGPUImage Classification+4Benchmarking Deep Learning Models for Object Detection on Edge Computing Devices
Modern applications, such as autonomous vehicles, require deploying deep learning algorithms on resource-constrained edge devices for real-time image and video processing. However, there is limited understanding of the e…
Autonomous VehiclesBenchmarkingEdge-computingobject-detection+2Real-Time Sound Event Localization and Detection: Deployment Challenges on Edge Devices
Sound event localization and detection (SELD) is critical for various real-world applications, including smart monitoring and Internet of Things (IoT) systems. Although deep neural networks (DNNs) represent the state-of-…
Raspberry Pi 3Sound Event Localization and DetectionChaurah: A Smart Raspberry Pi based Parking System
The widespread usage of cars and other large, heavy vehicles necessitates the development of an effective parking infrastructure. Additionally, algorithms for detection and recognition of number plates are often used to …
Optical Character RecognitionOptical Character Recognition (OCR)Raspberry Pi 3Light-weight Gesture Sensing Using FMCW Radar Time Series Data
The paper proposes a novel feature extraction approach for FMCW radar systems in the field of short-range gesture sensing. A light-weight processing is proposed which reduces a series of 3D radar data cubes to four 1D ti…
Raspberry Pi 3Time SeriesTime Series AnalysisA Benchmark Comparison of Visual Place Recognition Techniques for Resource-Constrained Embedded Platforms
Visual Place Recognition (VPR) has been a subject of significant research over the last 15 to 20 years. VPR is a fundamental task for autonomous navigation as it enables self-localization within an environment. Although …
Autonomous NavigationRaspberry Pi 3Visual Place RecognitionSuperOCR: A Conversion from Optical Character Recognition to Image Captioning
Optical Character Recognition (OCR) has many real world applications. The existing methods normally detect where the characters are, and then recognize the character for each detected location. Thus the accuracy of chara…
Image CaptioningLicense Plate RecognitionOptical Character RecognitionOptical Character Recognition (OCR)+1SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold Approximation
Hyperdimensional computing (HD) is an emerging paradigm for machine learning based on the evidence that the brain computes on high-dimensional, distributed, representations of data. The main operation of HD is encoding, …
BIG-bench Machine LearningRaspberry Pi 3MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
Predicting depth from a single image is an attractive research topic since it provides one more dimension of information to enable machines to better perceive the world. Recently, deep learning has emerged as an effectiv…
CPUDepth EstimationDepth PredictionGPU+4Evaluation of Embedded Platforms for Lower Limb Prosthesis with Visual Sensing Capabilities
Lower limb prosthesis can benefit from embedded systems capable of applying computer vision techniques to enhance autonomous control and context awareness for intelligent decision making. In order to fill in the gap of c…
CPUDecision MakingRaspberry Pi 3Embedded System to Detect, Track and Classify Plankton Using a Lensless Video Microscope
Plankton provide the foundation for life on earth. To advance our understanding of the marine ecosystem, for scientific, commercial and survival purposes, more in situ continuous monitoring and analysis of plankton is re…
Raspberry Pi 3Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application
Real-time apple detection in orchards is one of the most effective ways of estimating apple yields, which helps in managing apple supplies more effectively. Traditional detection methods used highly computational machine…
Decision MakingManagementRaspberry Pi 3Traffic Signs Detection and Recognition System using Deep Learning
With the rapid development of technology, automobiles have become an essential asset in our day-to-day lives. One of the more important researches is Traffic Signs Recognition (TSR) systems. This paper describes an appro…
Deep Learningobject-detectionObject DetectionRaspberry Pi 3+2A.I. based Embedded Speech to Text Using Deepspeech
Deepspeech was very useful for development IoT devices that need voice recognition. One of the voice recognition systems is deepspeech from Mozilla. Deepspeech is an open-source voice recognition that was using a neural …
Raspberry Pi 3speech-recognitionSpeech RecognitionSpeech-to-TextSelf learning robot using real-time neural networks
With the advancements in high volume, low precision computational technology and applied research on cognitive artificially intelligent heuristic systems, machine learning solutions through neural networks with real-time…
Raspberry Pi 3Self-LearningxYOLO: A Model For Real-Time Object Detection In Humanoid Soccer On Low-End Hardware
With the emergence of onboard vision processing for areas such as the internet of things (IoT), edge computing and autonomous robots, there is increasing demand for computationally efficient convolutional neural network …
CPUEdge-computingGPUObject+4RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods
Decision-tree-based ensemble classification methods (DTEMs) are a prevalent tool for supervised anomaly detection. However, due to the continued growth of datasets, DTEMs result in increasing drawbacks such as growing me…
Anomaly DetectionClassificationGeneral ClassificationRaspberry Pi 3+1LFFD: A Light and Fast Face Detector for Edge Devices
Face detection, as a fundamental technology for various applications, is always deployed on edge devices which have limited memory storage and low computing power. This paper introduces a Light and Fast Face Detector (LF…
Face DetectionRaspberry Pi 3Pedestrian Collision Avoidance System (PeCAS): a Deep Learning Framework
We propose a new deep learning based framework to identify pedestrians, and caution distracted drivers, in an effort to prevent the loss of life and property. This framework uses two Convolutional Neural Networks (CNN), …
Collision AvoidanceDeep LearningRaspberry Pi 3Towards real-time unsupervised monocular depth estimation on CPU
Unsupervised depth estimation from a single image is a very attractive technique with several implications in robotic, autonomous navigation, augmented reality and so on. This topic represents a very challenging task and…
Autonomous NavigationCPUDepth EstimationImage Reconstruction+3