Abto Software was approached by a solution provider to assist in designing a bicycle tracking system and improve cyclist safety. The cooperation has resulted in the successful development of a demo solution, which allows monitoring bikers, non-bikers, speed, and even helmets.
Our team designed an AI-based cyclist detection program that:
We covered:
a. Dataset preparation
At the first stage, to gather traffic information, a camera was placed directly above the multi-lane bicycle track. The camera was capturing both bikers and no-bikers, as well as identifying whether they’re wearing helmets and at which speed they’re moving.
b. Algorithm training in three successive stages:
– Biker and non-biker detection
– Helmet and haircut differentiation
– Speed recognition
Value delivered to the business
The initiative has proven the feasibility of further software development of the AI-supported tracking system. The client now has the opportunity to provide the product as a ready-made solution to leaders that specialize in improving public surveillance and safety.
The project provides for:
Read more about this case: https://www.abtosoftware.com/portfolio/cv-based-cyclist-recognition
