Abstract: Techniques are disclosed relating to determining whether document objects included in an image correspond to known document types. In some embodiments, a computing system maintains information specifying a set of known document types. In some embodiments, the computing system receives an image that includes objects. In some embodiments, the computing system analyzes, using a first neural network, the image to identify a document object and location information specifying a location of the document object within the image. In some embodiments, the computing system determines, using a second neural network, whether the document object within the image corresponds to a document type specified in the set of known document types, where the determining is performed based on the location information of the document object. In some embodiments, disclosed techniques may assist in automatically extracting information from documents, which in turn may advantageously decrease processing time for onboarding new customers.

Abstract: A battery system of an electric vehicle is disclosed. The battery system can include at least a first battery string including a number of battery modules, wherein the first battery string has an output that is coupled to the first power bus through a string switch, and wherein each of battery modules includes a plurality of battery cells connected in series. The battery system can also include a number of battery module monitors, wherein each of the battery module monitors is coupled to the battery cells of a corresponding one of the battery modules. The battery system can further include module monitor protection circuitry coupled to each of the battery module monitors, wherein the module monitor protection circuitry includes a plurality of protection circuits.

Abstract: Techniques are disclosed relating to determining whether document objects included in an image correspond to known document types. In some embodiments, a computing system maintains information specifying a set of known document types. In some embodiments, the computing system receives an image that includes objects. In some embodiments, the computing system analyzes, using a first neural network, the image to identify a document object and location information specifying a location of the document object within the image. In some embodiments, the computing system determines, using a second neural network, whether the document object within the image corresponds to a document type specified in the set of known document types, where the determining is performed based on the location information of the document object. In some embodiments, disclosed techniques may assist in automatically extracting information from documents, which in turn may advantageously decrease processing time for onboarding new customers.

Abstract: A battery system of an electric vehicle is disclosed. The battery system can include at least a first battery string including a number of battery modules, wherein the first battery string has an output that is coupled to the first power bus through a string switch, and wherein each of battery modules includes a plurality of battery cells connected in series. The battery system can also include a number of battery module monitors, wherein each of the battery module monitors is coupled to the battery cells of a corresponding one of the battery modules. The battery system can further include module monitor protection circuitry coupled to each of the battery module monitors, wherein the module monitor protection circuitry includes a plurality of protection circuits.