Visual detection system and detection method for fireworks products

Abstract

The present invention relates to a visual detection system and detection method for fireworks products, relates to the technical field of fireworks production, mainly comprises a computer and an imaging unit, and is responsible for taking images of inspection area of a fireworks barrel, then transmitting the images to a computer through an Ethernet interface; and the computer performs analysis andprocess of visual recognition on the collected images, and outputs processing results. The method has following beneficial effects: 1, the method can remotely observe detection and identification status, 2, the method provides automatic sound and light alarm for bad product detection, 3, the method achieves high efficient and clear deep-tube image retrieval at a lower cost, 4, the method has camera light source in integrated design, and facilitate simple and convenient installation, 5, the method facilitates easy remedy and elimination, 6, the method can complete process beat detection of fireworks every 3 seconds, 7, the method can work 24 hours without interruption, and 8, the method can save energy and reduce production costs such as manpower and time.

Description

technical field [0001] The invention relates to a visual detection system and detection method for fireworks products, belonging to the technical field of fireworks production. Background technique [0002] At present, in the fireworks production process, the production process is mainly to place a back cover sheet and launch gunpowder in the outer cylinder, and then place the inner cylinder. The outer cylinder is relatively high, and the inner hole is a deep cylinder, so it is necessary to image the deep cylinder of each outer cylinder, and it is difficult to take images with traditional industrial cameras, so it is very costly to use traditional industrial cameras to obtain images that meet the inspection requirements. high. The detection process focuses on three points, namely. At present, most of the quality control of each process adopts the most primitive manual inspection method, assisting the use of a flashlight to observe product defects with the naked eye; there ...

AI Technical Summary

Problems solved by technology

At present, most of the quality control of each process adopts the most primitive manual inspection method, assisting the use of a flashlight to observe product defects with the naked eye; there are also methods of using video monitoring technology to observe manually on a large screen, which in principle cannot Get rid of the need for careful observation with the naked eye, production safety and quality are related to the personal status of the inspector, it is easy to miss inspection, easy to make mistakes, and easy to fatigue, and the inspector belongs to a high-risk industry, and there is a great risk in using personnel detection in high-risk positions

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