A vehicle detection device based on acceleration sensor and photosensitive element

Abstract

The invention discloses a vehicle detection device based on an acceleration sensor and a light sensor. The vehicle detection device comprises the acceleration sensor, the light sensor, an acceleration signal processing circuit, a light sensor signal processing circuit, a data acquisition circuit, a microcomputer, a storage unit and a wireless transmission module. When a vehicle runs through the detection device, the acceleration sensor acquires a road vibration signal which is processed by the acceleration signal processing circuit, and meanwhile, the light sensor senses illumination variation to generate an optoelectronic signal which is processed by the light sensor unit signal processing circuit. The data acquisition circuit inputs the signals processed by the processing circuits to the microcomputer which performs analysis and calculation on data to obtain vehicle information, transfers the vehicle information to the storage unit and transmits the vehicle information through the wireless transmission module. The vehicle detection device based on the acceleration sensor and the light sensor is simple in installation and maintenance, small in damage to roads and capable of improving detection accuracy and reliability and prolonging service life and has the advantages of small size, low cost and less power consumption.

Description

technical field [0001] The invention relates to road traffic detection technology, in particular to a vehicle detection device based on an acceleration sensor and a photosensitive element. Background technique [0002] According to the types of detection sensors used in traffic detectors, they can be divided into pressure, acceleration, magnetic field, inductance, ultrasonic, frequency, photoelectric, image sensing, etc. They detect the time, shape or image of a vehicle passing through a certain interface by sensing, converting and transmitting relevant physical quantities, and transmit it to the computer. The computer converts these transmitted physical quantities into vehicle element values, such as the number of axles, wheelbase, size, etc. Currently widely used detectors include toroidal coil detectors, geomagnetic detectors, ultrasonic detectors and video detectors. [0003] The toroidal coil detector has many measurable parameters, its induction sensitivity is adjust...

AI Technical Summary

Problems solved by technology

The disadvantage is that its detection range is conical, affected by changes in vehicle types and vehicle heights, and the detection accuracy is poor, especially in the case of severe traffic congestion; in addition, the detection accuracy is easily affected by the environment, especially in strong winds, heavy rains, etc. Influence; People or objects passing under the probe will also generate reflected waves, causing false detection

Although the video detector has many advantages, there are still many problems that need to be solved: firstly, the detection accuracy of the video detector changes with the change of the lighting conditions. When the lighting is good, such as at noon, the detection effect is better. On the contrary, it is worse in the evening, rainy and snowy weather; the second is the shadow problem, which is the main reason for the false detection of the video detection algorithm; thirdly, the mutual occlusion of vehicles in the road scene is also a problem that must be considered

[0007] In addition, most of the traditional vehicle detection technologies use the measurement of a certain signal to obtain the detection results, which leads to the existence of problems such as false detection and missed detection. For example, ultrasonic detectors will miss detection when large vehicles are blocked At the same time, the single signal detection also makes the vehicle detection subject to many restrictions of the surrounding environment, and it is difficult to realize the vehicle detection technology that can adapt to different road environments

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