Automatic system for the detection of traffic participants
October - February 2022
Information:
- Type: Academic project
- Teammate: Stefan Damian
- GitHub: repository
- Technologies: CSS Python PyQt5 OpenCV Anaconda
Summary:
The project involves the implementation of an interface for an automatic detection system and recognition of road users.
Description:
The interface made will allow the user to choose an image or video and view the detection results. Of also aims to create an intuitive, modern and friendly interface with the user, following the general principles of creating an interface. The interface is thought out so that the user is only allowed actions that will result in proper operation of the application. The user will be asked for confirmations for some actions he wants to do do them and will be informed about the inappropriate use of the application or if they occur problems in the application flow.
Objectives:
- Realization of an interface for a detection and recognition system a traffic participants.
- Creation of a modern, intuitive and user-friendly interface.
- Implementation of an automatic detection system.
- Adherence to the general principles of making an interface: feedback to user, user-owned control, contrast, repetition, proximity, predictable operation, uninterrupted operation.
