Commit 1be0636d authored by Diyamantha N.K.A.G.O's avatar Diyamantha N.K.A.G.O

Update README.md

parent b33940db
......@@ -10,12 +10,17 @@ Main Research question:
Individual research questions:
IT18223118: Vehicle tracking faces challenges in adapting to the environment, including low illumination, camera shudder, noise, less diverse data, and inefficient night detection. Daylight tracking is hindered by shadows, while limited and less diverse data hampers current research. Inadequate illumination further hampers night vision for efficient detection.
IT18223118: Vehicle tracking faces challenges in adapting to the environment, including low illumination, camera shudder, noise, less diverse data,
and inefficient night detection. Daylight tracking is hindered by shadows, while limited and less diverse data hampers current research.
Inadequate illumination further hampers night vision for efficient detection.
IT20501402: Automated license plate recognition (ANPR) systems are commonly used in various areas, such as parking enforcement, traffic management, and toll collection. However, their performance is affected by the quality of images. In addition to weather and lighting
IT20501402: Automated license plate recognition (ANPR) systems are commonly used in various areas, such as parking enforcement, traffic management,
and toll collection. However, their performance is affected by the quality of images. In addition to weather and lighting
conditions, other factors such as motion blur and occlusion can also affect the image quality of license plates.
IT20241728:
IT20241728: Running red lights can lead to fatal accidents for both cars near intersections and pedestrians near crossings. Currently, manual detection
is used to monitor traffic violations, requiring law enforcement personnel to monitor each passing car daily. However, modern technological methods are
expensive, lack a centralized detection system, and are inaccessible or unaffordable for the majority of cities in Sri Lanka.
IT19029696:
......@@ -27,4 +32,5 @@ Individual Objectives:
IT18223118: Track vehicles and detect lane line violation in adverse weather conditions and light conditions
IT20501402: Image quality Enhancement to detect number plates accurately and track vehicles
IT20241728: Red light passing violation detection and smart traffic system
IT19029696: Use computer vision to detect high speed traffic violations and analyze data to predict road accidents.
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IT19029696: Use computer vision to detect high speed traffic violations and analyze data to predict road accidents.
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