accident detection using AI with YOLO dataset
Budget: $30 – $250 USD
In this project, I aim to implement an accident detection system on surveillance cameras(I want it to able open source file from my pc, if accident occur on that video, it should detect and display) using AI with YOLO dataset. The goal is to have a highly precise system even with the occasional allowance for false positives in order to ensure maximum safety. Here are more specifics about the project:
1. High Precision:
I am not settling for mediocrity. I need a system that is highly precise - even if it leads to sporadic false positives.
2. General Accident Detection:
It's not important that the system identifies the type of the accident. The focus here is on accident detection in any form, whether minor or major.
Ideal candidates for this project should have a deep understanding of AI implementation using the YOLO dataset. Strong experience in high precision systems and surveillance camera software development will come in handy. Familiarity with safety systems or accident detection is a plus. The task requires diligence in system testing to ensure high precision and effective functioning.
I have attached example of system below.
1. High Precision:
I am not settling for mediocrity. I need a system that is highly precise - even if it leads to sporadic false positives.
2. General Accident Detection:
It's not important that the system identifies the type of the accident. The focus here is on accident detection in any form, whether minor or major.
Ideal candidates for this project should have a deep understanding of AI implementation using the YOLO dataset. Strong experience in high precision systems and surveillance camera software development will come in handy. Familiarity with safety systems or accident detection is a plus. The task requires diligence in system testing to ensure high precision and effective functioning.
I have attached example of system below.