Neural network based physical condition evaluation of electronic devices, and associated systems and methods

The system for evaluating a condition of an electronic device, comprising:

• a capturing device that comprises at least one light source and at least one camera, wherein the at least one camera is configured to capture multiple images of the electronic device based on one or more predefined settings, each of the one or more predefined settings specifying at least one of:
• (1) an angle at which the capturing device is positioned with respect to the electronic device, (2) a light intensity of the at least one light source, (3) an exposure setting of the at least one camera, or (4) a white balance setting of the at least one camera;
• and
• one or more processors in communication with the capturing device, the one or more processors configured to:
• process the multiple images to generate a single input image;
• extract a set of features of the electronic device based on the at least one image of the electronic device;
• and
• determine, via a first neural network, a condition of the electronic device.

A computer-implemented method for evaluating a condition of an electronic device, comprising:

• capturing, by at least one camera of a kiosk, at least one image of a first side of the electronic device, wherein the kiosk includes multiple light sources;
• extracting a set of features of the electronic device based on the at least one image of the electronic device;
• and
• determining, by a neural network, a condition of the electronic device based on the set of features.