Wireless Sensor Network (Wsn) Based Automatic Firing Practice System (Afps) for Training of Law Enforcement Agencies (Leas)

Jattala, Imran

doi:10.17781/p001295

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…3 lists the comparisons with the competing techniques about the automatic scoring systems. The mechanical design of the automatic target-box with motor and gear assembly, consisting of target sheet, bullet-impact sensor, control board, and WiFi communication module was presented for bullet detection [28]. The implementation cost is very high.…”

Section: A Practical Demonstrationmentioning

confidence: 99%

“…The automatic dart-scoring system is a challenge work. Recently, the automatic target-scoring systems are presented with camera imaging methods [23][24][25][26][27][28]. The automatic bullet scoring system is presented for military training [23], which employs geometric rectification and the median filter, image binary, image subtraction between inter-frames to find the position of bullet-spot.…”

Section: Introductionmentioning

confidence: 99%

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Intelligent Blowgun Game Scoring Recognition System Based on Computer Vision

et al. 2021

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In this manuscript, we present score recognition techniques for blowgun game based on computer vision. First, the algorithm detects the position of the target, and calibrates the camera's parameters. Then the score is calculated with the detection of the dart tip on the target for real-time applications. To improve the robustness, the initial calibration is proposed to record N points as references at the edges of circles, to correct the camera position and angle. This approach can overcome the problems of lighting changes and the camera viewing angle deviation. The fast segmentation and orientation decision is proposed to find the blowgun tip accurately. The two cameras are presented to solve the overlapping problem of multiple darts to improve the detection accuracy. Based on calibration parameters, the distance weighting method is proposed to calculate the score precisely. Experiments result that the accuracy can achieve about 97% to recognize the score, and the processing speed can meet the real-time requirement with software implementation.

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Section: A Practical Demonstrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intelligent Blowgun Game Scoring Recognition System Based on Computer Vision

et al. 2021

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Evolutionary low-cost visual shooting practice system

Hatamleh

Khasawneh

Sawaqed

et al. 2015

2015 10th International Symposium on Mechatronics and Its Applications (ISMA)

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Implementation of MIMO and AMC Techniques in WiMAX Network based VANET System

Dorge¹,

Dorle²,

Chakole³

2016

IJITCS

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Abstract-VehicularThis designed system provides multiple radio channels in between transmitter and receiver for transmission and reception of the data by using the concept of MIMO technology. Also AMC provides the selection of different modulation techniques depending on the signal to noise ratio of the channel. These two techniques provide the significant change in the throughput, delay, jitter, and packet delivery ratio and packet loss ratio than existing vehicular ad-hoc network. WiMAX based VANET provides high speed, low cost per bit and large coverage area.

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Wireless Sensor Network (Wsn) Based Automatic Firing Practice System (Afps) for Training of Law Enforcement Agencies (Leas)

Cited by 3 publications

References 21 publications

Intelligent Blowgun Game Scoring Recognition System Based on Computer Vision

Intelligent Blowgun Game Scoring Recognition System Based on Computer Vision

Evolutionary low-cost visual shooting practice system

Implementation of MIMO and AMC Techniques in WiMAX Network based VANET System

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