A vehicle horn detection method, device, readable storage medium and electronic equipment
By performing local real-time processing of audio streams and time-frequency feature analysis of pre-trained models on roadside edge devices, the problems of high false alarm rate and insufficient evidence in vehicle horn detection in urban intersection environments are solved. Low-latency and highly robust horn detection results are achieved, which are suitable for the real-time and reliability requirements of traffic monitoring scenarios.
Patent Information
- Application Number
- CN202610573230.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for detecting vehicle horns in urban intersection environments suffer from high false alarm rates and insufficient evidence, especially in complex environments where it is difficult to effectively distinguish between horn signals and interference sounds.
Local real-time processing of audio streams is performed using roadside edge devices. Time-frequency features are obtained through segmentation and feature extraction. Frame-level horn detection probabilities and time-frequency masks are obtained using a pre-trained horn detection model. Detection results are determined based on multiple consecutive audio segments within a preset evidence window, and accurate start and end timestamps are output.
It achieves low-latency and highly robust vehicle horn detection, reduces network transmission latency and bandwidth pressure, outputs reliable evidence information, and has high reliability and traceability, making it suitable for traffic violation enforcement and evidence collection.
Smart Images
Figure CN122417094A_ABST