Warning device and method for detecting persons left in vehicle

Abstract

The invention relates to a warning device for detecting persons left in a vehicle. When the condition that persons are left in the vehicle is judged through a microwave sensor and a sound sensor, a warner sends out sound / lamplight warning or sends out short message / phone / application prompt or risk warning prompt through a communication module. The warning device also has the in-vehicle high-temperature warning and smoke warning functions, and can be used for anti-theft warning. The invention also provides a warning method for detecting the persons left in the vehicle.

Description

technical field [0001] The invention relates to the technical field of safety protection for personnel inside a vehicle, in particular to a detection and alarm device and method for personnel left in a vehicle. Background technique [0002] In summer, the temperature inside the closed car is as high as 50 degrees Celsius. Every year, a large number of tragedies of infants and young children left in the car to death will occur all over the world. In China, accidents involving children left behind in cars also occur frequently, which poses a great threat to the life safety of children, especially young children. However, compared with the popularization of automobiles, detection and alarm devices for people left in the car are not common in the market. In addition, due to the large number of passengers on the school bus, it is difficult to find children due to their small size, and due to the driver's negligence and the high temperature of the closed environment inside the bu...

AI Technical Summary

Problems solved by technology

Due to the heating of mechanical and electronic equipment during the driving of the car, the heat in the car environment will change, and when the car is parked, the objects in the car will be exposed to sunlight and the heat in each area of ​​the car will change rapidly. Therefore, the applicable environment of this scheme is limited. low accuracy

[0004] In the prior art, there is also a solution to detect people in the car through seats, but in this solution, each seat needs to be arranged, which is inconvenient for installation and maintenance, and the status of the remaining people in the car is unknown

[0005] In addition, there is an image recognition method to detect people in the car, but this solution requires high-performance processing chips and complex calculations, the application cost is high, and the false positive rate is high when applied in scenarios such as resting in the car

[0006] To sum up, most of the technical solutions for the detection of people left in the vehicle in the prior art are not mature enough, and it is difficult to form a product to be put on the market.

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