Visible light responsive optoelectronic memristor device based on CeOx/ZnO structure for artificial vision system

2021 ◽  
Vol 118 (19) ◽  
pp. 191103
Author(s):  
Zhenyu Zhou ◽  
Yifei Pei ◽  
Jianhui Zhao ◽  
Guangsheng Fu ◽  
Xiaobing Yan
Keyword(s):  
Visible Light ◽  
Vision System ◽  
Artificial Vision ◽  
Memristor Device

A Two-Channel Artificial Vision System for Motion Analysis

2003 ◽  
Vol 43 (9) ◽  
pp. 1271-1279
Author(s):  
Alexis Quesada-Arencibia ◽  
Roberto Moreno-Díaz ◽  
Miguel Aleman-Flores
Keyword(s):  
Motion Analysis ◽  
Vision System ◽  
Artificial Vision

scholarly journals Ripening Stages Control of Cherry Tomato Coated with Aloe Vera Gel using Artificial Vision System

2020 ◽  
Vol 17 (105) ◽  
pp. 135-149
Author(s):  
Ali Ganjloo ◽  
Mohsen Zandi ◽  
Mandana Bimakr ◽  
Samaneh Monajem ◽  
◽  
...  
Keyword(s):  
Vision System ◽  
Aloe Vera ◽  
Artificial Vision ◽  
Cherry Tomato ◽  
Ripening Stages ◽  
Aloe Vera Gel

New Redundant Manipulator Robot with Six Degrees of Freedom Controlled with Visual Feedback

2017 ◽  
pp. 231-255
Author(s):  
Claudio Urrea ◽  
Héctor Araya
Keyword(s):  
Visual Feedback ◽  
Degrees Of Freedom ◽  
Position Control ◽  
Vision System ◽  
Artificial Vision ◽  
Correct Operation ◽  
Six Degrees Of Freedom ◽  
Design And Implementation ◽  
Implementation Stages ◽  
Manipulator Robot

The design and implementation stages of a redundant robotized manipulator with six Degrees Of Freedom (DOF), controlled with visual feedback by means of computational software, is presented. The various disciplines involved in the design and implementation of the manipulator robot are highlighted in their electric as well as mechanical aspects. Then, the kinematics equations that govern the position and orientation of each link of the manipulator robot are determined. The programming of an artificial vision system and of an interface that control the manipulator robot is designed and implemented. Likewise, the type of position control applied to each joint is explained, making a distinction according to the assigned task. Finally, functional mechanical and electric tests to validate the correct operation of each of the systems of the manipulator robot and the whole robotized system are carried out.

scholarly journals Improved localisation and discrimination of heat emitting household objects with the artificial vision therapy system by integration with thermal sensor

2020 ◽  
Vol 104 (12) ◽  
pp. 1730-1734 ◽  
Author(s):  
Sandra R Montezuma ◽  
Susan Y Sun ◽  
Arup Roy ◽  
Avi Caspi ◽  
Jessy D Dorn ◽  
...  
Keyword(s):  
Visible Light ◽  
Daily Life ◽  
Retinal Prosthesis ◽  
Hot Water ◽  
Artificial Vision ◽  
Thermal Sensor ◽  
Thermal Camera ◽  
Argus Ii ◽  
Vision Therapy ◽  
Heated Object

AimTo demonstrate the potential clinically meaningful benefits of a thermal camera integrated with the Argus II, an artificial vision therapy system, for assisting Argus II users in localising and discriminating heat-emitting objects.MethodsSeven blind patients implanted with Argus II retinal prosthesis participated in the study. Two tasks were investigated: (1) localising up to three heat-emitting objects by indicating the location of the objects and (2) discriminating a specific heated object out of three presented on a table. Heat-emitting objects placed on a table included a toaster, a flat iron, an electric kettle, a heating pad and a mug of hot water. Subjects completed the two tasks using the unmodified Argus II system with a visible-light camera and the thermal camera-integrated Argus II.ResultsSubjects more accurately localised heated objects displayed on a table (p=0.011) and discriminated a specific type of object (p=0.005) presented with the thermal camera integrated with the Argus II versus the unmodified Argus II camera.ConclusionsThe thermal camera integrated with the artificial vision therapy system helps users to locate and differentiate heat-emitting objects more precisely than a visible light sensor. The integration of the thermal camera with the Argus II may have significant benefits in patients’ daily life.

scholarly journals HFR Projector Camera Based Visible Light Communication System for Real-Time Video Streaming

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5368
Author(s):  
Atul Sharma ◽  
Sushil Raut ◽  
Kohei Shimasaki ◽  
Taku Senoo ◽  
Idaku Ishii
Keyword(s):  
Visible Light ◽  
Real Time ◽  
Video Streaming ◽  
Video Sequence ◽  
Vision System ◽  
Visible Light Communication ◽  
Gray Code ◽  
Frame Rate ◽  
Video Sequences ◽  
Color Video

This study develops a projector–camera-based visible light communication (VLC) system for real-time broadband video streaming, in which a high frame rate (HFR) projector can encode and project a color input video sequence into binary image patterns modulated at thousands of frames per second and an HFR vision system can capture and decode these binary patterns into the input color video sequence with real-time video processing. For maximum utilization of the high-throughput transmission ability of the HFR projector, we introduce a projector–camera VLC protocol, wherein a multi-level color video sequence is binary-modulated with a gray code for encoding and decoding instead of pure-code-based binary modulation. Gray code encoding is introduced to address the ambiguity with mismatched pixel alignments along the gradients between the projector and vision system. Our proposed VLC system consists of an HFR projector, which can project 590 × 1060 binary images at 1041 fps via HDMI streaming and a monochrome HFR camera system, which can capture and process 12-bit 512 × 512 images in real time at 3125 fps; it can simultaneously decode and reconstruct 24-bit RGB video sequences at 31 fps, including an error correction process. The effectiveness of the proposed VLC system was verified via several experiments by streaming offline and live video sequences.

scholarly journals Design and Construction of a Cost-Effective Didactic Robotic Arm for Playing Chess, Using an Artificial Vision System

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1154 ◽  
Author(s):  
Cristian del Toro ◽  
Carlos Robles-Algarín ◽  
Omar Rodríguez-Álvarez
Keyword(s):  
Visual Servoing ◽  
Mechanical Design ◽  
Vision System ◽  
Cost Effective ◽  
Artificial Vision ◽  
Robotic Arm ◽  
Chess Game ◽  
Human Opponent ◽  
The University ◽  
Design And Construction

This paper presents the design and construction of a robotic arm that plays chess against a human opponent, based on an artificial vision system. The mechanical design was an adaptation of the robotic arm proposed by the rapid prototyping laboratory FabLab RUC (Fabrication Laboratory of the University of Roskilde). Using the software Solidworks, a gripper with 4 joints was designed. An artificial vision system was developed for detecting the corners of the squares on a chessboard and performing image segmentation. Then, an image recognition model was trained using convolutional neural networks to detect the movements of pieces on the board. An image-based visual servoing system was designed using the Kanade–Lucas–Tomasi method, in order to locate the manipulator. Additionally, an Arduino development board was programmed to control and receive information from the robotic arm using Gcode commands. Results show that with the Stockfish chess game engine, the system is able to make game decisions and manipulate the pieces on the board. In this way, it was possible to implement a didactic robotic arm as a relevant application in data processing and decision-making for programmable automatons.

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