Scattered and centralized home image fire alarm system and method based on SCNN

Abstract

The invention belongs to the technical field of smart home and Internet, and discloses a scattered and centralized home image fire alarm system and method based on SCNN, and the system comprises a power module which is composed of a lithium battery pack and a voltage stabilizing circuit, and is used for providing stable and reliable power supply; a CPU used as a brain of an embedded Android system; digital high-definition camera used as a main signal acquisition device; a wireless communication module composed of common Wi-Fi and 4G networks and keeps normal communication with the outside; and an alarm device which gives an alarm by sending out a photoacoustic signal to remind surrounding personnel to pay attention to check and carry out fire extinguishing and rescue in time. According to the invention, the recognition result of the algorithm is combined with the remote judgment of the person, and the timely confirmation of the person is beneficial to lower false alarm and missing alarm, thereby ensuring that the recognition result has higher accuracy and reliability.

Description

technical field [0001] The invention belongs to the field of smart home and Internet technologies, and in particular relates to an SCNN-based decentralized and centralized home image fire alarm system and method. Background technique [0002] At present, with the development of my country's economy and society, people's needs for a comfortable, safe and intelligent home environment are becoming more and more urgent, and related smart home products are endless. In the field of home monitoring and monitoring, video images have developed rapidly as a conventional means, but they often cannot independently identify and monitor fire signals. The accumulation of various flammable materials in the home poses a huge hidden danger. Once a fire occurs, the economic loss is unbearable. It is imminent to strengthen fire prevention and control, and use technical means to improve the real-time and accuracy of fire detection in civil buildings. Among them, image fire detection has attract...

AI Technical Summary

Problems solved by technology

One is to optimize the built-in algorithm of a single image fire detector to improve its accuracy, but the maturity and stability of the algorithm at this stage are relatively poor, and it is still in the process of continuous development and improvement, and relying solely on artificial intelligence algorithms cannot meet actual needs

On the other hand, the centralized processing of image data brings huge requirements on the network bandwidth and computing power of the data center server, greatly increases the cost of popularization and application of smart home products, and also brings family and personal information leakage, etc. Hidden dangers, it is not realistic to adopt such a plan at this stage

In general, under the background that the current image detection and recognition technology is still in rapid development, it is difficult to solve the above problems by adopting conventional ideas

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