Method and system for identifying saturation of people flow in sightseeing scenic spot
A technology of saturation and scenic spots, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of large number of people in popular scenic spots or routes, lack of supervision of tourist flow in scenic spots, inconvenient to play, etc., to reduce the amount of calculation and The effect of storage
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0041] Embodiment 1 is a system separately set up at the entrance / exit of the scenic spot, which is used to monitor the saturation of the flow of people.
[0042] Such as figure 1 As shown, a method for identifying the saturation of tourist attractions, is characterized in that: comprising the following steps:
[0043] Video data collection: use the video collection devices installed at the entrance / exit gateways of the scenic spot to collect video data;
[0044] Target feature extraction: periodically analyze and process the collected video data to extract target features;
[0045] Saturation judgment: analyze whether each target feature matches the saved feature data in the memory:
[0046] (1) If all target features match the feature data in the memory, do not operate on the total number of people;
[0047] (2) If there are target features that cannot match the feature data in the memory, modify the total number of people according to the number of unmatched target featu...
Embodiment 2
[0081] Embodiment 2 is the supervision of the scenic spot and various scenic spots inside the scenic spot.
[0082] Such as image 3 As shown, the system is installed at the entrance / exit of the scenic spot and the entrance and exit of each scenic spot in the scenic spot. Each system is also connected with the general monitoring center, and the monitoring center monitors the scenic spots and the flow saturation of each scenic spot in real time.
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


