The Use of Security Cameras with Privacy Protecting Ability

Prashyanusorn, Vacharee; Prashyanusorn, Paiboon; Kaviya, Somkuan; Fujii, Yusaku; Yupapin, P.P.

doi:10.1016/j.proeng.2011.03.056

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…In our modern world, the result of our capabilities can be greatly enhanced by computers. Technology is a vital aspect of the human condition [1]. From mobile phones with a lot of applications to supercomputers that act as servers of a massive amount of users, local area networks to cloud technologies, and a lot more.…”

Section: Introductionmentioning

confidence: 99%

Intruder detection and recognition using different image processing techniques for a proactive surveillance

Rodelas

Ballera

2021

IJEECS

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To innovate a proactive surveillance camera, there is a need for efficient face detection and recognition algorithm. The researchers used one of the ViolaJones algorithm and used different image processing techniques to recognize intruders or not. The goal of the research is to recognize the fastest way on how the homeowners will be informed if an intruder or burglar enters their home using a proactive surveillance device. This device was programmed based on the different recognition algorithms and a criteria evaluation framework that could recognize intruders and burglars and the design used was developmental research to satisfy the research problem. The researchers used the Viola-Jones algorithm for face detection and five algorithms for face recognition. The criteria evaluation was used to identify the best face recognition algorithm and was tested in a real-world situation and captured a series of images camera and processed by proactive face detection and recognition. The result shows that the system can detect and recognize intruders and proactively send a notification to the homeowners via mobile application. It is concluded that the system can recognize the intruders and proactively notify the household members using the mobile applications and activate the alarm system of the house.

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Section: Introductionmentioning

confidence: 99%

Intruder detection and recognition using different image processing techniques for a proactive surveillance

Rodelas

Ballera

2021

IJEECS

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Loitering Detection in Home Surveillance System

Shanmughapriya

Gunasundari²,

Bharathy³

2022

2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET

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Autofocusing imaging system based on laser ranging and a retina-like sample

Cao

Cheng

Wang³

et al. 2017

Appl. Opt.

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A novel autofocusing method combining active and passive techniques is proposed to improve autofocusing performance. The proposed method is divided into coarse and fine autofocusing stages. First, a laser ranging finder viewed as the active technique is used to obtain a reasonable initial position of the compensating lens group during the coarse autofocusing stage. Second, a retina-like sampling method is used to decrease the volume of processing data during the fine autofocusing stage. We developed a prototype and performed comparative experiments using different targets based on the proposed method and the traditional passive method (TPM). Under optical power of 9×, the TPM consumed 2.5 s, while the proposed method performed at 1.3 s. The comparative experiments also showed that the proposed method exhibited a better anti-interference property than the traditional method.

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The Use of Security Cameras with Privacy Protecting Ability

Cited by 3 publications

References 10 publications

Intruder detection and recognition using different image processing techniques for a proactive surveillance

Intruder detection and recognition using different image processing techniques for a proactive surveillance

Loitering Detection in Home Surveillance System

Autofocusing imaging system based on laser ranging and a retina-like sample

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