Abstract: Example freight management systems and methods are described. In one implementation, a first sensor tower is located near a loading dock and includes multiple camera sensors that capture a first set of images of a freight item in the loading dock. A second sensor tower located near the loading dock captures a second set of images of the freight item. A computing device receives the first set of images and the second set of images. The computing device analyzes the first set of images and the second set of images to identify at least one object associated with the freight item.

Abstract: Example freight management systems and methods are described. In one implementation, techniques receive at least one wide angle camera image from a sensor tower, where the sensor tower is located proximate a loading dock and the wide angle camera image is associated with at least a portion of the loading dock. The techniques also receive multiple high precision camera images from the sensor tower, where the plurality of high precision camera images are associated with at least a portion of the loading dock. The techniques process the wide angle image using a first convolutional neural network (CNN) and process the multiple high precision images using a second CNN. The techniques identify a freight item proximate the loading dock based on the processed high precision images.