Fast zooming and focusing algorithm for real-time surveillance camera system

2004 ◽  
Author(s):  
Piljae Song ◽  
Jungryoul Choi ◽  
Mincheol Hong ◽  
Hernsoo Hahn
Keyword(s):  
Real Time ◽  
Camera System ◽  
Surveillance Camera

scholarly journals Real time face recognition of video surveillance system using haar cascade classifier

2021 ◽  
Vol 21 (3) ◽  
pp. 1389
Author(s):  
Adlan Hakim Ahmad ◽  
Sharifah Saon ◽  
Abd Kadir Mahamad ◽  
Cahyo Darujati ◽  
Sri Wiwoho Mudjanarko ◽  
...  
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
Video Surveillance ◽  
Surveillance System ◽  
Raspberry Pi ◽  
Video Surveillance System ◽  
Cascade Classifier ◽  
Camera System ◽  
Surveillance Camera ◽  
Haar Cascade

<div>This project investigates the use of face recognition for a surveillance system. The normal video surveillance system uses in closed-circuit television (CCTV) to record video for security purpose. It is used to identify the identity of a person through their appearances on the recorded video, manually. Today’s video surveillance camera system usually not occupied with a face recognition system. With some modification, a surveillance camera system can be used as face detection and recognition that can be done in real-time. The proposed system makes use of surveillance camera system that can identify the identity of a person automatically by using face recognition of Haar cascade classifier. The hardware used for this project were Raspberry Pi as a processor and Pi Camera as a camera module. The development of this project consist of three main phases which were data gathering, training recognizer, and face recognition process. All three phases have been executed using Python programming and OpenCV library, which have been performed in a Raspbian operation system. From the result, the proposed system successfully displays the output result of human face recognition, with facial angle within ±40°, in medium and normal light condition, and within a distance of 0.4 to 1.2 meter. Targeted image are allowed to wear face accessory as long as not covering the face structure. In conclusion, this system considered, can reduce the cost of manpower in order to identify the identity of a person in real time situation.</div>

Development of Wireless Control System With Underwater Fish-Eye Camera to Monitor Fish at the Test Site of Marine Renewable Energy

2019 ◽  
Author(s):  
Takero Yoshida ◽  
Yoichi Mizukami ◽  
Jinxin Zhou ◽  
Daisuke Kitazawa
Keyword(s):  
Renewable Energy ◽  
Real Time ◽  
Test Site ◽  
Energy Device ◽  
Camera System ◽  
Wireless Monitoring ◽  
Marine Renewable Energy ◽  
Wireless Control ◽  
Before And After ◽  
Fish Eye

Abstract Environmental impact assessment is important when marine renewable energy device is installed. Fishermen concern the effect of device on local fish. To confirm the effect before and after installation of marine renewable energy device, we developed wireless monitoring system using an underwater fish eye camera. The camera system is composed of a dome-shaped fish eye lens, a container, and a float. Two thrusters are attached on the container to change the monitoring directions. In the current research, this system was developed to monitor underwater situation around device remotely and in real time. We tested to monitor a target and fish in a fish case at the site off Kamaishi city. The recorded video showed the target and fish. Effectiveness of this system was shown through the field test for real time monitoring around marine renewable energy device.

Robotized camera system for real-time coaching of clinicians in emergency room

2008 ◽  
Vol 3 (3-4) ◽  
pp. 241-248 ◽  
Author(s):  
R. Lemieux ◽  
F. Michaud ◽  
P. Masson ◽  
Christian Bellemarre ◽  
M. Martin ◽  
...  
Keyword(s):  
Emergency Room ◽  
Real Time ◽  
Camera System
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