scholarly journals Image Acquisition Device for Smart-City Access Control Applications Based on Iris Recognition

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6185
Author(s):  
Damjan Zadnik ◽  
Andrej Žemva
Keyword(s):  
Access Control ◽  
Smart City ◽  
Iris Recognition ◽  
Low Cost ◽  
Image Acquisition ◽  
Distance Measurement ◽  
Acquisition Time ◽  
Control Applications ◽  
Acquisition Device ◽  
Image Acquisition Device

In this work, we present an eye-image acquisition device that can be used as an image acquisition front-end application in compact, low-cost, and easy-to-integrate products for smart-city access control applications, based on iris recognition. We present the advantages and disadvantages of iris recognition compared to fingerprint- or face recognition. We also present the main drawbacks of the existing commercial solutions and propose a concept device design for door-mounted access control systems based on iris recognition technology. Our eye-image acquisition device was built around a low-cost camera module. An integrated infrared distance measurement was used for active image focusing. FPGA image processing was used for raw-RGB to grayscale demosaicing and passive image focusing. The integrated visible light illumination meets the IEC62471 photobiological safety standard. According to our results, we present the operation of the distance-measurement subsystem, the operation of the image-focusing subsystem, examples of acquired images of an artificial toy eye under different illumination conditions, and the calculation of illumination exposure hazards. We managed to acquire a sharp image of an artificial toy eye sized 22 mm in diameter from an approximate distance of 10 cm, with 400 pixels over the iris diameter, an average acquisition time of 1 s, and illumination below hazardous exposure levels.

An image acquisition device for minicomputers

1978 ◽  
Vol 8 (1) ◽  
pp. 113-120 ◽  
Author(s):  
S. Levialdi ◽  
A. Pirri ◽  
V. Franchina
Keyword(s):  
Image Acquisition ◽  
Acquisition Device ◽  
Image Acquisition Device

scholarly journals Image acquisition device of inspection robot based on adaptive rotation regulation of polarizer

2017 ◽  
Vol 100 ◽  
pp. 012152
Author(s):  
Maoqi Dong ◽  
Xingguang Wang ◽  
Tao Liang ◽  
Guoqing Yang ◽  
Chuangyou Zhang ◽  
...  
Keyword(s):  
Image Acquisition ◽  
Inspection Robot ◽  
Acquisition Device ◽  
Image Acquisition Device

scholarly journals An Automatic Machine Vision-Guided System for the Propagation of Potato Test-Tube Plantlets

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Xu Shengyong ◽  
Peng Biye ◽  
Wu Haiyang ◽  
Li Fushuai ◽  
Cai Xingkui ◽  
...  
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Vision System ◽  
Image Acquisition ◽  
Processing System ◽  
Test Tube ◽  
Automatic Machine ◽  
Node Point ◽  
Acquisition Device ◽  
Image Acquisition Device

In manually propagating potato test-tube plantlets (PTTPs), the plantlet is usually grasped and cut at the node point between the cotyledon and stem, which is hardly located and is easily damaged by the gripper. Using an agricultural intelligent robot to replace manual operation will greatly improve the efficiency and quality of the propagation of PTTPs. An automatic machine vision-guided system for the propagation of PTTPs was developed and tested. In this paper, the workflow of the visual system was designed and the image acquisition device was made. Furthermore, the image processing algorithm was then integrated with the image acquisition device in order to construct an automatic PTTP propagation vision system. An image processing system for locating a node point was employed to determine a suitable operation point on the stem. A binocular stereo vision algorithm was applied to compute the 3D coordinates of node points. Finally, the kinematics equation of the three-axis parallel manipulator was established, and the three-dimensional coordinates of the nodes were transformed into the corresponding parameters X, Y, and Z of the three driving sliders of the manipulator. The experimental results indicated that the automatic vision system had a success rate of 98.4%, 0.68 s time consumed per 3 plants, and approximate 1 mm location error in locating the plantlets in an appropriate position for the medial expansion period (22 days).

scholarly journals Development of an Image Acquisition Device Based on Smartphone for Grading Determination of Beef Carcass

2021 ◽  
Vol 22 (11) ◽  
pp. 839-847
Author(s):  
Hyeon-Chae Yoo ◽  
Jong-Guk Lim ◽  
Ah-Yeong Lee ◽  
Bal-Geum Kim ◽  
Young-Wook Seo ◽  
...  
Keyword(s):  
Image Acquisition ◽  
Acquisition Device ◽  
Image Acquisition Device ◽  
Beef Carcass
Sign in / Sign up

Export Citation Format

Share Document