Configurable smart object system with methods of making modules and contactors

Abstract

Configurable smart object systems with methods of making modules and contactors are provided. Example systems implement machine learning based on neural networks that draw low power for use in smart phones, watches, drones, automobiles, and medical devices. Example assemblies can be configured from pluggable, interchangeable modules that have compatible ports for interconnecting and integrating functionally dissimilar sensor systems. An example method includes mounting an element of a configurable machine learning assembly on a substrate, creating at least one fold in the substrate, folding the substrate at the fold into a housing of a module of the configurable machine learning assembly, and adding a molding material to the housing to at least partially fill the module of the configurable machine learning assembly. The example module construction may also form contactors on folded edges of the module for making physical and electrical contact with other modules of the smart object machine learning assembly.