Riset Image Captioning Computer Vision Project

Here are a few use cases for this project:

1. Urban Planning and Development: This computer vision model could be used by urban planning professionals or architects to understand and analyze sidewalk activity. With its ability to detect various classes such as pedestrians, bicycles, cars, and trees, the software can provide insights into how urban spaces are used and help in designing more efficient and safe environments.

2. Smart City Applications: The model can be used in Smart City initiatives to automatically analyze and monitor public spaces. For example, monitoring the usage pattern of benches, bikes, or bus stops for intelligent management or detecting any unusual activities on streets, like obstructions due to fallen trees or incorrectly parked vehicles.

3. Traffic Management and Control: Traffic control systems can use this model to monitor and control traffic flow based on real-time data related to cars, motorbikes, bicycles, buses, and pedestrian movements detected on the zebra crossing and sidewalks.

4. Accessibility Assessment: NGOs or government agencies focusing on public accessibility and pedestrian safety can use this model to analyze cities' sidewalks. The model can detect elements like benches, trash cans, plant pots, posts, bollards which are essential for assessing sidewalk accessibility, especially for the disabled or elderly citizens.

5. Augmented Reality (AR) Apps: AR applications developers can use this computer vision model to create more immersive and realistic AR experiences within urban environments. Recognizing real-world objects like trees, people, vehicles, benches, and more could help anchor digital enhancements in physical spaces.