Systems and methods for automated trade-in with limited human interaction

A method comprising:

• continually monitoring, based on feedback from one or more image sensors, for a presence of a vehicle associated with a user within a predetermined area;
• determining, based on the feedback, that the vehicle is within the predetermined area;
• determining identifying information of the vehicle associated with the user
• receiving, from the one or more image sensors, first data comprising multimedia content showing a first aspect of damage to the vehicle associated with the user;
• creating a feature vector comprising the first data;
• identifying a machine learning algorithm corresponding to the vehicle associated with the user;
• and
• inputting the feature vector into the identified machine learning algorithm to determine a damage estimate to the first aspect of damage.

An apparatus comprising:

• one or more processors;
• one or more image sensors;
• and
• a memory storing instructions that, when executed by the one or more processors, cause the apparatus to:
• continually monitor, based on feedback from the one or more image sensors, for a presence of a vehicle associated with a user within a predetermined area;
• determine, based on the feedback, that the vehicle is within the predetermined area;
• receive, from the one or more image sensors, first data comprising multimedia content showing a first aspect of damage to the vehicle associated with the user;
• create a feature vector comprising the first data;
• identify a machine learning algorithm corresponding to the vehicle associated with the user;
• and
• input the feature vector into the identified machine learning algorithm to determine a damage estimate to the first aspect of damage.