Results 21 to 30 of about 4,822,114 (362)
Agriculture, 2023 Intelligent agriculture imposes higher requirements on the recognition and localization of fruit and vegetable picking robots. Due to its unique visual information and relatively low hardware cost, machine vision is widely applied in the recognition and ...
Guangyu Hou +3 more
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Broadband sensory networks with locally stored responsivities for neuromorphic machine vision
Science Advances, 2023 As the most promising candidates for the implementation of in-sensor computing, retinomorphic vision sensors can constitute built-in neural networks and directly implement multiply-and-accumulation operations using responsivities as the weights. However,
Guo-Xin Zhang +11 more
semanticscholar +1 more source
Research on the Application Status of Machine Vision Technology in Furniture Manufacturing Process
Applied Sciences, 2023 Machine vision technology was integrated into the manufacturing workshop, to achieve an effective and high-quality production mode for furniture manufacturing.
Rongrong Li, Shuchang Zhao, Bokai Yang
semanticscholar +1 more source
Preprocessing Enhanced Image Compression for Machine Vision [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2022 Recently, more and more images are compressed and sent to the back-end devices for machine analysis tasks (e.g., object detection) instead of being purely watched by humans.
Guo Lu +4 more
semanticscholar +1 more source
Ultralow‐Power Machine Vision with Self‐Powered Sensor Reservoir
Advancement of science, 2022 A neuromorphic visual system integrating optoelectronic synapses to perform the in‐sensor computing is triggering a revolution due to the reduction of latency and energy consumption.
J. Lao +15 more
semanticscholar +1 more source
MS-YOLO: Object Detection Based on YOLOv5 Optimized Fusion Millimeter-Wave Radar and Machine Vision
IEEE Sensors Journal, 2022 Millimeter-wave radar and machine vision are both important means for intelligent vehicles to perceive the surrounding environment. Aiming at the problem of multi-sensor fusion, this paper proposes the object detection method of millimeter-wave radar and
Yunyun Song +3 more
semanticscholar +1 more source
Microaneurysm detection in fundus images using a two-step convolutional neural network
BioMedical Engineering OnLine, 2019 Background and objectives Diabetic retinopathy (DR) is the leading cause of blindness worldwide, and therefore its early detection is important in order to reduce disease-related eye injuries. DR is diagnosed by inspecting fundus images.
Noushin Eftekhari +4 more
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Knowledge-based vision and simple visual machines [PDF]
, 1997 The vast majority of work in machine vision emphasizes the representation of perceived objects and events: it is these internal representations that incorporate the 'knowledge' in knowledge-based vision or form the 'models' in model-based vision. In this
Dave Cliff +10 more
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LOEN: Lensless opto-electronic neural network empowered machine vision
Light: Science & Applications, 2022 Machine vision faces bottlenecks in computing power consumption and large amounts of data. Although opto-electronic hybrid neural networks can provide assistance, they usually have complex structures and are highly dependent on a coherent light source ...
Wanxin Shi +6 more
semanticscholar +1 more source
A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering
IEEE Access, 2022 Food recommender-systems are considered an effective tool to help users adjust their eating habits and achieve a healthier diet. This paper aims to develop a new hybrid food recommender-system to overcome the shortcomings of previous systems, such as ...
Mehrdad Rostami +2 more
doaj +1 more source