With the progress of human society and the continuous increase in population, foot traffic in places such as malls, office buildings, and schools is gradually increasing. In the event of unexpected disasters like fires or earthquakes, it becomes difficult for people to escape, and the limited rescue resources make post-disaster rescue tasks even more challenging. An important issue that needs to be addressed is how to allocate rescue resources effectively. Understanding the population distribution in real-time in places like malls, office buildings, schools, and tourist attractions is a necessary and effective measure for the reasonable allocation of rescue resources.
Benewake's independently developed solid-state LiDAR can be installed in areas that need foot traffic monitoring based on the on-site environment to effectively monitor the foot traffic within the area. By installing the TF-Luna above the door and detecting vertically downwards, it can monitor changes in distance when people enter the detection area. The system increments the count by one each time this occurs, outputs the number of people, and calculates their height.
Benewake TF-Luna LiDAR Modual is used to detect the occupation of public toilets and the statistics of human flow. In terms of intelligent detection function, the public area of public toilets is equipped with an interactive display. The display can allow toilet personnel and managers to intuitively see the use of various toilet spaces for men and women, the use of the third toilet and mother and child rooms, the total passenger flow of smart public toilets, air quality, water, and electricity consumption and other relevant information. It is convenient for the public to understand the overall environment of public toilets, and managers can also temporarily monitor the cleaning of public toilets.
Using Benewake LiDAR TF-Luna to create a 3×5 light array (adjustable according to the elevator's dimensions) and placing it at the top inside the elevator. This setup measures whether the internal space of the elevator is fully occupied. If it is fully occupied, the system controls the elevator to not stop at middle floors, making it suitable for high-rise buildings. Additionally, this solves the problem where a weight sensor does not detect sufficient weight to indicate full capacity, but the elevator is already full and would otherwise still stop.
Currently, there is a lack of effective cargo capacity and cargo posture monitoring systems in the intermodal container industry, which makes it impossible to effectively and in real-time detect the transportation status of goods. By installing LiDAR modules to detect the cargo status of freight containers, real-time container capacity information and cargo posture information can be obtained. Detecting changes in cargo inside the container, such as loading or unloading, and reporting capacity information in real-time to a visualization platform can effectively improve the utilization and turnover rate of containers by identifying the loading status of all containers.
Capacity Information:
LiDAR modules measure the distance from the cargo to the end of the container and calculate the volume of transported goods reasonably. By statistically calculating the cargo volume of all containers, the container utilization rate and remaining storage capacity can be determined, thus improving the turnover rate of containers.
Door Opening Detection:
Install LiDAR modules on container doors to detect abnormal changes in measurement values, which may indicate that the door has been opened, thus monitoring the door opening and closing status.
Safety Monitoring:
Enhance personal and cargo safety by observing whether there are frequent abnormal changes in LiDAR module measurements to determine if there is unauthorized entry into the container, preventing issues such as stowaways or cargo theft.
Posture Monitoring:
Real-time monitoring of status information during cargo transportation. When there is a sudden change in measurement values, from a constant value D to another constant value d, it can be inferred whether there has been a change in cargo posture, such as cargo tilting or shifting.
Installation Methods:
1. Install multiple LiDARs on the side walls. While unable to detect the door opening/closing status, this method allows for real-time monitoring of capacity information.
2. Install two LiDARs on the container doors. Before closing the doors, real cargo capacity information cannot be obtained. However, this setup can serve as a door opening detection system.
|
|
1. Technical Advantages: High precision, narrow field of view, stable and reliable distance measurement, low false alarm rate, high refresh rate, and sensitive detection of dynamic crowds.
2. Implementation Advantages: Compact size, lightweight, easy to install, no additional modifications needed.
3. Cost Advantages: Consumer-level pricing.
4. Product Advantages: Long detection range for black objects, adaptable to various installation heights, low power consumption (<0.35W), and supports long-term battery operation.
