Vzense 3D ToF camera is more in line with your industrial needs.
Let’s jump into this short article to learn more about the applications of ToF cameras in various fields.
By adopting the appropriate algorithm, ToF camera can differentiate pallets from other objects in the environment based on their 3D shape and size in real time, enabling the AGV to quickly react and adjust its approach to the pallet more efficiently and accurately in warehouse environments.
ToF camera can capture depth information of the environment in real-time to accurately detect obstacles in its path. This allows the AGV to adjust its route or speed to avoid collisions.
RGB-D ToF Camera provides accurate depth information of the objects in the robot’s workspace, which can be used to accurately position the robot’s end-effector to pick up objects of different shapes and sizes on the fast-moving convey.
This enables the robot to perform tasks like sorting, packaging, and assembly more efficiently and accurately.
Using ToF camera can quickly acquire 3D point cloud data of each parcel and calculate the volume based on the 3D data. Support the simultaneous use of multiple cameras to deal with the volume measurement of oversized or irregular objects.
RGB-D ToF camera can accurately detect parcels in the sorting area, including small and irregularly shaped parcels. Process various types of packages in an orderly manner to achieve efficient and accurate automatic separation of packages.
By adopting appropriate algorithm, ToF camera can differentiate pallets from other objects in the environment based on their 3D shape and size in real-time, enabling the AGV to quickly react and adjust its approach to the pallet more efficiently and accurately in warehouse environments.
Tracking and counting the number of people when they enter and exit a specific area makes ToF cameras a useful tool for people counting applications, such as in retail stores, museums, or other public spaces. Vzense also develops its own people-counting software and provides customized solutions for different scenes.
When ToF cameras are equipped with specialized algorithms which can analyze the changes in the distance and velocity of objects in the camera’s field of view and determine whether they are consistent with falling.
This can help the camera differentiate between intentional movement and accidental falling.