The invention discloses a convolutional neutral network-based worker absence-from-post detection method. According to different characteristics extracted from monitoring images, the images are classified via an image classification algorithm, and whether workers are absent from posts can be detected via a convolutional neutral network training model. Monitoring workers in a company can be helped to process monitoring data efficiently via the worker absence-from-post detection method, whether the workers are at the posts can be determined, and whether the workers are absent from the posts can be accurately detected in working environment; a conventional convolutional neutral network structure can be improved so as to be applied to indoor working scenarios such as companies, enterprises and the like; worker absence-from-post detection can be realized, and the worker absence-from-post detection method is well applied to solving the problem.