Image Processing Framework for Performance Enhancement of Low-Light Image Sensors

Purohit, Manoj; Chakraborty, Abhijit; Kumar, Ajay; Kaushik, Brajesh Kumar

doi:10.1109/jsen.2020.3044392

Cited by 13 publications

(1 citation statement)

References 55 publications

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“…Overall, this part offers a solid basis for comprehending the necessity of a CCTV surveillance anomaly warning system in business storage. Manoj Purohit [3] discusses the advantages of image-intensifier-based night vision devices over other types of night vision devices and emphasizes the necessity of night vision devices for taking pictures in extremely low light circumstances. They also note that scintillation noise is a significant obstacle to taking high-quality pictures in dim lighting.…”

Section: A Related Workmentioning

confidence: 99%

Survey On Smart Siren to Alert Animals About Train Tracks in Image Processing

Prem,

Singarayan,

Rajarethnam

et al. 2023

Advances in Computer Science Research

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Animals frequently come into contact with the trains that utilize railway lines, which puts them in grave risk. Many fatalities are caused each year by the inability of animals to escape accidents at the high speeds of trains. A smart siren system that employs image processing technology to find animals on or near the train tracks and warn them of an approaching train can be created to solve this issue. The proposed system captures an image of the surrounding region using cameras that are installed on the sides of the tracks. After that, computer vision algorithms are applied to these photographs in order to identify any nearby animals. Animals may hear the sound that is emitted by a smart siren when it is triggered after it detects animals. To guarantee that animals are warned of the impending train in advance, the siren can be installed at various points along the tracks. This approach can encourage coexistence between animals and people while drastically reducing the amount of animal deaths on railway lines. Overall, the smart siren system suggested in this research can provide an innovative and effective solution to stop animal collisions with trains and to increase safety for both humans and animals.

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Section: A Related Workmentioning

confidence: 99%