Papers Raspberry Pi 4
“Raspberry Pi 4” 태그가 달린 논문 48편 · 필터 해제
ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge
Edge computing enables data processing closer to the source, significantly reducing latency an essential requirement for real-time vision-based analytics such as object detection in surveillance and smart city environmen…
Edge-computingObjectobject-detectionObject Detection+1EdgeProfiler: A Fast Profiling Framework for Lightweight LLMs on Edge Using Analytical Model
This paper introduces EdgeProfiler, a fast profiling framework designed for evaluating lightweight Large Language Models (LLMs) on edge systems. While LLMs offer remarkable capabilities in natural language understanding …
Natural Language UnderstandingQuantizationRaspberry Pi 4Vision-Based Autonomous MM-Wave Reflector Using ArUco-Driven Angle-of-Arrival Estimation
Reliable millimeter-wave (mmWave) communication in non-line-of-sight (NLoS) conditions remains a major challenge for both military and civilian operations, especially in urban or infrastructure-limited environments. This…
Raspberry Pi 4SLAM-Based Navigation and Fault Resilience in a Surveillance Quadcopter with Embedded Vision Systems
We present an autonomous aerial surveillance platform, Veg, designed as a fault-tolerant quadcopter system that integrates visual SLAM for GPS-independent navigation, advanced control architecture for dynamic stability, …
Face Recognitionobject-detectionObject DetectionRaspberry Pi 4Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency
Deploying Large Language Models (LLMs) on edge devices presents significant challenges due to computational constraints, memory limitations, inference speed, and energy consumption. Model quantization has emerged as a ke…
BenchmarkingGSM8KHumanEvalQuantization+2Fragile Mastery: Are Domain-Specific Trade-Offs Undermining On-Device Language Models?
The application of on-device language models (ODLMs) on resource-constrained edge devices is a multi-dimensional problem that strikes a fine balance between computational effectiveness, memory, power usage, and linguisti…
Model CompressionRaspberry Pi 4Biases in Edge Language Models: Detection, Analysis, and Mitigation
The integration of large language models (LLMs) on low-power edge devices such as Raspberry Pi, known as edge language models (ELMs), has introduced opportunities for more personalized, secure, and low-latency language i…
FairnessRaspberry Pi 4EdgeMLOps: Operationalizing ML models with Cumulocity IoT and thin-edge.io for Visual quality Inspection
This paper introduces EdgeMLOps, a framework leveraging Cumulocity IoT and thin-edge.io for deploying and managing machine learning models on resource-constrained edge devices. We address the challenges of model optimiza…
Asset ManagementManagementModel OptimizationQuantization+1TakuNet: 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+4AI-based Wearable Vision Assistance System for the Visually Impaired: Integrating Real-Time Object Recognition and Contextual Understanding Using Large Vision-Language Models
Visual impairment affects the ability of people to live a life like normal people. Such people face challenges in performing activities of daily living, such as reading, writing, traveling and participating in social gat…
Object RecognitionRaspberry Pi 4GazeGen: Gaze-Driven User Interaction for Visual Content Generation
We present GazeGen, a user interaction system that generates visual content (images and videos) for locations indicated by the user's eye gaze. GazeGen allows intuitive manipulation of visual content by targeting regions…
Gaze EstimationKnowledge DistillationRaspberry Pi 4ERIC: Estimating Rainfall with Commodity Doorbell Camera for Precision Residential Irrigation
Current state-of-the-art residential irrigation systems, such as WaterMyYard, rely on rainfall data from nearby weather stations to adjust irrigation amounts. However, the accuracy of rainfall data is compromised by the …
Raspberry Pi 4A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
Since the creation of the Web, recommender systems (RSs) have been an indispensable mechanism in information filtering. State-of-the-art RSs primarily depend on categorical features, which ecoded by embedding vectors, re…
BenchmarkingCollaborative FilteringModel SelectionRaspberry Pi 4+1A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge
Reducing inference time and energy usage while maintaining prediction accuracy has become a significant concern for deep neural networks (DNN) inference on resource-constrained edge devices. To address this problem, we p…
GPUimage-classificationImage ClassificationRaspberry Pi 4Aperiodic two-layer energy management system for community microgrids based on blockchain strategy
This work proposes a geographically-based split of the community microgrids into clusters of members that tend to have similar consumption and generation profiles. Assuming a community microgrid divided into clusters, a …
energy managementManagementRaspberry Pi 4Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators
The paper focuses on real-time facial expression recognition (FER) systems as an important component in various real-world applications such as social robotics. We investigate two hardware options for the deployment of F…
Facial Expression RecognitionFacial Expression Recognition (FER)Raspberry Pi 4Area and Power Efficient FFT/IFFT Processor for FALCON Post-Quantum Cryptography
Quantum computing is an emerging technology on the verge of reshaping industries, while simultaneously challenging existing cryptographic algorithms. FALCON, a recent standard quantum-resistant digital signature, present…
Raspberry Pi 4SchedulingEmbedded Planogram Compliance Control System
The retail sector presents several open and challenging problems that could benefit from advanced pattern recognition and computer vision techniques. One such critical challenge is planogram compliance control. In this s…
ManagementNVIDIA Jetson Orin NanoObjectobject-detection+2High-accuracy Vision-Based Attitude Estimation System for Air-Bearing Spacecraft Simulators
Air-bearing platforms for simulating the rotational dynamics of satellites require highly precise ground truth systems. Unfortunately, commercial motion capture systems used for this scope are complex and expensive. This…
Raspberry Pi 4SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers
Computer vision has become increasingly prevalent in solving real-world problems across diverse domains, including smart agriculture, fishery, and livestock management. These applications may not require processing many …
CPUManagementRaspberry Pi 4