Automatic scheduling of CCTV camera views using a human-centric approach

Author(s):  
Pradeep K. Atrey ◽  
M. Anwar Hossain ◽  
Abdulmotaleb El Saddik
Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1104
Author(s):  
Shin-Yan Chiou ◽  
Kun-Ju Lin ◽  
Ya-Xin Dong

Positron emission tomography (PET) is one of the commonly used scanning techniques. Medical staff manually calculate the estimated scan time for each PET device. However, the number of PET scanning devices is small, the number of patients is large, and there are many changes including rescanning requirements, which makes it very error-prone, puts pressure on staff, and causes trouble for patients and their families. Although previous studies proposed algorithms for specific inspections, there is currently no research on improving the PET process. This paper proposes a real-time automatic scheduling and control system for PET patients with wearable sensors. The system can automatically schedule, estimate and instantly update the time of various tasks, and automatically allocate beds and announce schedule information in real time. We implemented this system, collected time data of 200 actual patients, and put these data into the implementation program for simulation and comparison. The average time difference between manual and automatic scheduling was 7.32 min, and it could reduce the average examination time of 82% of patients by 6.14 ± 4.61 min. This convinces us the system is correct and can improve time efficiency, while avoiding human error and staff pressure, and avoiding trouble for patients and their families.


2011 ◽  
Vol 6 (1) ◽  
pp. 38-41 ◽  
Author(s):  
M. Courtney
Keyword(s):  

2012 ◽  
Vol 220-223 ◽  
pp. 78-82
Author(s):  
Zhi Bing Lu ◽  
Ai Min Wang ◽  
Cheng Tong Tang ◽  
Jing Sheng Li

The current environment is experiencing a transformation from multi varieties and little batch to multi varieties and batch, this situation has result that companies’ management do not suite it. According to this the scheduling frame research facing rapid response manufacturing has been proposed. At first through this analyzing the problem in current situation, the whole scheduling frame is researched. Secondly, many models that can be used in this frame have been discussed such as manufacturing information, disturbance events, automatic scheduling and dynamic scheduling models. Finally the whole scheduling platforms which can be used in practical situation has been proposed and make a technical function base for current manufacturers.


Author(s):  
Saurabh Bhoite ◽  
Nagalakshmi Ravi ◽  
Kunal Giri ◽  
Kunal Gupta
Keyword(s):  

2018 ◽  
Vol 44 (2) ◽  
pp. 148-164 ◽  
Author(s):  
Jerry H. Ratcliffe ◽  
Elizabeth R. Groff

Methodological challenges have hampered a number of previous studies into the crime reduction effectiveness of closed-circuit television (CCTV) surveillance systems. These have included the use of arbitrary fixed distances to represent estimated camera deterrence areas and a lack of control for camera sites with overlapping surveillance areas. The current article overcomes the first of these challenges by using camera view areas individually constructed by researchers viewing and manipulating cameras to determine precise camera viewsheds. The second challenge is addressed by grouping cameras into clusters of combined viewshed areas. The longitudinal crime and disorder reduction effectiveness of these clusters of overlapping CCTV cameras is tested in Philadelphia, PA. Multilevel mixed-effects models with time-varying covariates and measures from a noncomparable control area are applied to 10 years of crime data (2003–2012) within the viewsheds of 86 CCTV cameras grouped into 13 clusters. Models applied across violent street felonies and disorder incidents find no significant impact associated with the introduction of CCTV surveillance. Potential reasons for this are discussed.


PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0259713
Author(s):  
Adarsh Jagan Sathyamoorthy ◽  
Utsav Patel ◽  
Moumita Paul ◽  
Yash Savle ◽  
Dinesh Manocha

Observing social/physical distancing norms between humans has become an indispensable precaution to slow down the transmission of COVID-19. We present a novel method to automatically detect pairs of humans in a crowded scenario who are not maintaining social distancing, i.e. about 2 meters of space between them using an autonomous mobile robot and existing CCTV (Closed-Circuit TeleVision) cameras. The robot is equipped with commodity sensors, namely an RGB-D (Red Green Blue—Depth) camera and a 2-D lidar to detect social distancing breaches within their sensing range and navigate towards the location of the breach. Moreover, it discreetly alerts the relevant people to move apart by using a mounted display. In addition, we also equip the robot with a thermal camera that transmits thermal images to security/healthcare personnel who monitors COVID symptoms such as a fever. In indoor scenarios, we integrate the mobile robot setup with a static wall-mounted CCTV camera to further improve the number of social distancing breaches detected, accurately pursuing walking groups of people etc. We highlight the performance benefits of our robot + CCTV approach in different static and dynamic indoor scenarios.


2020 ◽  
Vol 3 (2) ◽  
pp. 298-308
Author(s):  
Uci Rahmalisa ◽  
Mardeni Mardeni ◽  
Rialtra Helmi ◽  
Arie Linarta

Keep a pet at home takes time and effort. For people who have very dense flurry of activity certainly keep a pet such as a cat would be very hard to do. A Raspberry Pi microcontroller is designed for the purpose of automatic feeding so it is easy to use. The workings of the tool are automatic scheduling using an Android-based smartphone so that the servo motor will open and close so that the cat food is taken out into the food container that has been provided. By using an Android-based smartphone, the feeding schedule can be set by the hour for each funnel. Equipped with a buzzer as a reminder of cat owners if the available food stock is low and must be immediately refilled. The programming language used is Python language. Based on testing and performance of "Automatic Cat Feeding Using Raspberry Pi Android Based" has shown results in accordance with the design that is able to open and close the funnel that fills the cat food container with a servo motor automatically by setting a predetermined time.


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