2results about How to "Implement intrusion detection" patented technology

The application discloses a dangerous area personnel intrusion detection method, comprising the following steps: acquiring image data and preprocessing video; detecting the position and confidence of personnel; continuously tracking the personnel target; comprehensively analyzing the effectiveness of the target trajectory; and judging personnel intrusion to trigger an alarm mechanism. The application realizes real-time personnel intrusion detection of the workshop automation station by combining the YOLOv8 personnel detection algorithm, the Kalman filter and the target tracking technology of the Hungarian algorithm, and the target effectiveness judgment mechanism, constructs a real-time and continuous monitoring process, ensures real-time monitoring and personnel intrusion detection of the workshop automation station, effectively improves the detection precision, reduces the false alarm rate, guarantees production safety, has high detection precision and low false alarm rate in a complex scene, can effectively guarantee the production safety of the workshop, and can also adjust the algorithm parameters and threshold according to the actual field demand, and adapt to different detection frame rate requirements.

The invention discloses a vehicle-based intrusion detection method, device and system and a storage medium, and the method comprises the steps: capturing log data of a target system event based on an eBPF program running in a vehicle operation system kernel, and constructing N to-be-detected sequences based on the captured log data; processing the N to-be-detected sequences based on a preset attack discrimination model deployed in the vehicle to obtain an initial type corresponding to each to-be-detected sequence; all the M to-be-detected sequences of which the initial types are abnormal types are uploaded to a cloud end, and known attack type identification is performed on the M to-be-detected sequences through the cloud end; k to-be-detected sequences are screened out from the to-be-detected sequences of which the initial types are normal types, the K to-be-detected sequences are uploaded to a cloud end, unknown attack type identification is carried out on the K to-be-detected sequences through the cloud end, and N, M and K are positive integers. According to the scheme, vehicle intrusion detection can be comprehensively and accurately realized.