Project Contributor – Passenger Counting Using Machine Learning
OtherImageObject Detection
I participated in a project focusing on passenger counting for transport vehicles using machine learning models. The work involved applying a SSD deep learning model and Dlib tracker to detect and count passengers from vehicle images or video streams. My tasks included setting up the annotation process, refining detection criteria, and ensuring accurate counting in compliance with transport authority regulations.
• Applied object detection algorithms to counted individuals in transit vehicles
• Used deep learning models and tracking methods for annotation accuracy
• Ensured data quality for compliance programs
• Contributed to the integration of AI solutions for real-world transport challenges
I participated in a project focusing on passenger counting for transport vehicles using machine learning models. The work involved applying a SSD deep learning model and Dlib tracker to detect and count passengers from vehicle images or video streams. My tasks included setting up the annotation process, refining detection criteria, and ensuring accurate counting in compliance with transport authority regulations. • Applied object detection algorithms to counted individuals in transit vehicles • Used deep learning models and tracking methods for annotation accuracy • Ensured data quality for compliance programs • Contributed to the integration of AI solutions for real-world transport challenges
2019 - 2019