Real time object detection using a novel adaptive color thresholding method

Bagheri, M.; Madani, M.; Sahba, Ramin; Sahba, Amin

doi:10.1145/2072652.2072656

Cited by 23 publications

(4 citation statements)

References 12 publications

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“…To evaluate the effectiveness of a model, specific test scenarios are needed, and different models require different methods [33][34][35][36][37][38][39][40][41][42][43]. To test the effectiveness of the designed model, the program was coded in Code Vision at the mechatronics lab of Rayan Shid Nama Eng.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Prevention of Metro Rail Accidents and Incidents in Stations Using RFID Technology

Sahba

2018

2018 World Automation Congress (WAC)

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Today, metro is one of the urban infrastructure and plays an important role in urban transport. The safety and health of people in a city are always important, and transport in the metro should also be safe. When subway trains operate, it is possible to occur various accidents such as an exit from the rails or collision with a possible obstacle on the rails (human or another train). In this paper, a model is proposed based on RFID technology in which the train is equipped with a RFID reader, and a control circuit with a microcontroller as well as placing RFID active tags at specific points of the path. When the train approaches the tagged points of the route, the train tag reader scans the tag number, and then the microcontroller identifies the status of the environment by retrieving the information from the internal database. Then, the control circuit adjusts the rotational speed of the electric motor and the train speed consequently based on that data. In this way, the speed of the train is adapted automatically and promptly to the conditions and the probability of an accident in unforeseen circumstances is reduced.

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Section: Experiments and Resultsmentioning

confidence: 99%

Prevention of Metro Rail Accidents and Incidents in Stations Using RFID Technology

Sahba

2018

2018 World Automation Congress (WAC)

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“…Video trigger mode refers to the license plate recognition using a sequence of dynamic motion for image analysis and processing through checking out vehicle motion on road in real time (Bagheri, Madani, Sahba, & Sahba, 2011). Once triggered, the computer will capture the images of an on-road vehicle, further steps will include recognizing the plate for subsequent process.…”

Section: Triggered Methodsmentioning

confidence: 99%

Rotation correction for license plate recognition

Nguyen

Yan

2018

2018 4th International Conference on Control, Automation and Robotics (ICCAR)

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The focus of this thesis is on reliable and robust license plate recognition (LPR). The technology is currently in operation that both the quantity and quality-based approaches are needed. The entire procedure of license plate recognition consists of six steps: (1) image acquisition, (2) image pre-processing, (3) plate locating, (4) character segmentation, (5) character recognition, (6) output. However, when a road is uneven and slant, a vehicle will be shaky while running; consequently, the plate is also unstable and tilted with an angle of rotation at this moment. Meanwhile, a surveillance camera is very difficult to capture an effective image so that the plate is hard to be located and recognized. Due to this existing problem, the contributions of this thesis are: (1) plate tilt correction using Hough transform; (2) GNN-based plate number recognition. The novelties of this thesis are to improve the robustness and reliability of license plate recognition through literature review as well as evaluate those existing technologies.

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“…Moreover, by increasing the trend of using safety-critical mechanical systems such as next-generation composite aircraft, sustainable energy, artificial heart valves, automated drug dispensary equipment, high-speed rail systems, and gas turbines any interruption or alteration in their precise engineering could cause a significant safety problem [22][23][24][25].…”

Section: Safety Health Environmentmentioning

confidence: 99%

“…Eliminate incidents of injuries and accidents caused by cyber threats [20][21][22][23][24][25] Office TPM Addressing traditional IT cybersecurity, securing intellectual properties, data and network [13,26,27] Development management…”

Section: Early/equipment Managementmentioning

confidence: 99%

Cybersecurity Concerns for Total Productive Maintenance in Smart Manufacturing Systems

Zarreh¹,

Wan²,

Lee³

et al. 2019

Preprint

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Maintenance is the core function to keep a system running and avoid failure. Total Productive Maintenance (TPM) has broadly utilized maintenance strategy to improve the customer's satisfaction and hence obtain a competitive advancement. However, the complexity of smart manufacturing systems due to the recent advancements, specifically the integration of internet and network systems with traditional manufacturing platforms, has made this function more challenging. The focus of this paper is to explain how cybersecurity could impact the TPM by affecting the overall equipment effectiveness (OEE) in a smart manufacturing system by providing a structured literature survey. First, it provides concerns on principle of TPM regarding cybersecurity in smart manufacturing systems. Then, it highlights the effect of a variety of cyber-physical threats on OEE, as a main key performance indicator of TPM and how differently they can reduce OEE. The countermeasures that could be considered to compensate for the negative impact of a cybersecurity threat on the overall effectiveness of the system also will be discussed. Finally, research gaps and challenges are identified to improve overall equipment effectiveness (OEE) in presence of cybersecurity threats in critical manufacturing industries.

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Real time object detection using a novel adaptive color thresholding method

Cited by 23 publications

References 12 publications

Prevention of Metro Rail Accidents and Incidents in Stations Using RFID Technology

Prevention of Metro Rail Accidents and Incidents in Stations Using RFID Technology

Rotation correction for license plate recognition

Cybersecurity Concerns for Total Productive Maintenance in Smart Manufacturing Systems

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