Target recognition method, device and system and computer readable storage medium

Abstract

The invention discloses a target recognition method, device and system and a computer readable storage medium. The method comprises the following steps: obtaining raw pulse data, determining a pulse sampling window, and inputting pulses in the pulse sampling window into a pulse neural network, mapping the pulse input to the pulse neural network, sequentially transmitting the pulse along each layerof excitation neurons except the last layer of excitation neurons, transmitting the pulse to an inference layer along the last layer of excitation neurons, sequentially transmitting the pulse along each layer of inference neurons except the last layer of inference neurons, and determining an identification result; the device comprises a pulse acquisition module, a sampling window module, a pulsemapping module, a neuron excitation module, a neuron reasoning module and an identification result determination module. The system comprises the device. The method can achieve the accurate and quickrecognition of a to-be-recognized target, can be better suitable for a target with a higher movement speed, and can give consideration to the recognition accuracy and calculation amount.

Description

technical field [0001] The present invention relates to the technical field of object recognition, and more specifically, the present invention is an object recognition method, device, system and computer-readable storage medium. Background technique [0002] In recent years, the field of artificial intelligence has developed rapidly, and breakthroughs have been made in algorithms, hardware, chips, etc., especially in the image field represented by computer vision, and many research results have been widely commercialized and civilianized. people's daily life. However, the current artificial intelligence algorithm still takes the second-generation artificial neural network as the main core. This type of algorithm was proposed as early as the 1980s. With years of continuous research, it has fallen into a research bottleneck in the academic community. Therefore, people have shifted their focus to the third-generation artificial neural network (that is, the pulse neural networ...

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Problems solved by technology

[0004] In order to solve the problems widely existing in existing target recognition technologies, such as poor recognition effect and inability to effectively recognize high-speed moving targets, the present invention innovatively provides a target recognition method, device, system and computer-readable storage medium. The neural network performs noise filtering and pulse enhancement on the original input pulse, which can realize accurate and efficient recognition of the target to be recognized, and can also significantly reduce the amount of calculation and power consumption

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