Abstract: Systems and techniques for optimizing deployment of a camera scanning system in an environment for item identification are described. An example technique involves obtaining a first set of parameters of the camera scanning system and obtaining a second set of parameters of the environment. A third set of parameters of a predicted scan volume of the camera scanning system are determined based on the first set of parameters and the second set of parameters. At least one of the first or second sets of parameters is modified upon determining that the predicted scan volume satisfies a first predetermined condition. An indication of at least one of the first, second, or third sets of parameters is transmitted upon determining that the predicted scan volume satisfies a second predetermined condition.

Abstract: Systems, techniques, and devices for performing long range depth estimation are described. Multiple images of a scene are captured via at least three imaging sensors of a camera device. A first imaging sensor is separated from a second imaging sensor by a first baseline, and a third imaging sensor is separated from the first imaging sensor by a second baseline larger than the first baseline. A first point cloud is generated based on a first image and a second image captured by the first imaging sensor and the second imaging sensor, respectively. A second point cloud is generated based on the first image and a third image captured by the first imaging sensor and the third imaging sensor, respectively. Depth information of the scene is generated based on the first point cloud and the second point cloud.