Low Cost Shooting Simulator Based on a Single Board Computer

Недорогой симулятор стрельбы на базе одноплатного компьютера
Aryuanto Soetedjo, Ali Mahmudi, M. Ibrahim Ashari, Yusuf Ismail Nakhoda
2015-02-01

OpenCV image processingZigbee wireless communicationlaser spot detectionshooting simulatorsingle-board computer
This paper proposes the camera on weapon system used as the shooting simulator. The single board computer (Raspberry Pi module) is used as the main processor. The OpenCV is implemented on the embedded system to perform the image processing task. The aim of the proposed camera on weapon system is to detect the position of the markers on the target and the laser spot. The detected coordinates are sent to the personal computer using a wireless communication provided by a low power Zigbee protocol. The performance of the proposed system using two camera systems (the Web-Camera and the Raspberry Pi-Camera) are evaluated. Both systems achieve the higher performances in the shooting detection which is greater than 85%, the target detection error which is lower than 0.8% and the small displacement on the arrangement of the camera and the laser pointer which is lower than one pixel. The Raspberry Pi-Camera system has a fast processing speed of 27 fps, while the processing speed of the Web-Camera system is 17 fps.
1
A low-cost shooting simulator uses a weapon-mounted camera, Raspberry Pi processor, OpenCV image processing, and Zigbee wireless communication.
2
Both Web-Camera and Raspberry Pi-Camera configurations achieve shooting-detection performance above 85% and target-detection error below 0.8%.
3
Camera and laser-pointer displacement remains below one pixel for both evaluated camera systems.
4
The Raspberry Pi-Camera processes images at 27 fps, outperforming the Web-Camera system’s 17 fps.
5
The system detects target-marker positions and laser-spot coordinates, transmitting them wirelessly to a personal computer.

camera-on-weapon shooting simulator system for detecting target markers and laser spots

shooting-detection and target-detection performance, including detection accuracy, camera–laser alignment displacement, and processing speed

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Publication Date
2015-02-01
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Authors
Aryuanto Soetedjo
Ali Mahmudi
M. Ibrahim Ashari
Yusuf Ismail Nakhoda
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