Warning method and apparatus for environment detection, computer device, and storage medium

A computer device, comprising a processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor;

• when the computer device is running, the processor communicates with the memory via the bus;
• and the processor, when loading and executing the machine-readable instructions, is caused to perform a warning method for environment detection, wherein the method comprises:
• acquiring a video stream of a preset collection region, sequentially collecting frame images from the video stream as detection images, and acquiring an object detection result by inputting the detection images into an image recognition model, wherein the object detection result comprises fugitive dust level information;
• determining, in a case that the object detection result comprises a fugitive dust detection box, fugitive dust state information based on positioning information of the fugitive dust detection box;
• using the fugitive dust state information and the fugitive dust level information as detection data;
• and
• giving a fugitive dust warning in a case that a fugitive dust warning condition is satisfied based on the detection data and a historical detection data set;
• and updating, in the case that the fugitive dust warning condition is satisfied based on the detection data and the historical detection data set, the historical detection data set based on the detection data, and returning to perform a step of sequentially collecting frame images from the video stream as detection images.

A non-transitory computer-readable storage medium storing at least one computer program thereon, wherein the at least one computer program, when loaded and executed by a processor, causes the processor to perform a warning method for environment detection, wherein the method comprises:

• acquiring a video stream of a preset collection region, sequentially collecting frame images from the video stream as detection images, and acquiring an object detection result by inputting the detection images into an image recognition model, wherein the object detection result comprises fugitive dust level information;
• determining, in a case that the object detection result comprises a fugitive dust detection box, fugitive dust state information based on positioning information of the fugitive dust detection box;
• using the fugitive dust state information and the fugitive dust level information as detection data;
• and
• giving a fugitive dust warning in a case that a fugitive dust warning condition is satisfied based on the detection data and a historical detection data set;
• and updating, in the case that the fugitive dust warning condition is satisfied based on the detection data and the historical detection data set, the historical detection data set based on the detection data, and returning to perform a step of sequentially collecting frame images from the video stream as detection images.