Abstract: When an object is detected by an electronic device in a predefined spatial region of a physical mat, the electronic device may perform one or more measurements of the object using the one or more sensors. Note that the physical mat may be on a surface that is separate from the electronic device. Then, the electronic device may identify the object based at least in part on the one or more measurements, where the identification involves a pretrained neural network or a pretrained machine-learning model that uses the one or more measurements as an input and that outputs information specifying the identified object. Moreover, the electronic device may provide classification information associated with the identified object. Next, the electronic device may perform analysis associated with the identified object. For example, the electronic device may increment a count of a number of a type of object that includes the identified object.
Abstract: When an object is detected by an electronic device in a predefined spatial region of a physical mat, the electronic device may perform one or more measurements of the object using the one or more sensors. Note that the physical mat may be on a surface that is separate from the electronic device. Then, the electronic device may identify the object based at least in part on the one or more measurements, where the identification involves a pretrained neural network or a pretrained machine-learning model that uses the one or more measurements as an input and that outputs information specifying the identified object. Moreover, the electronic device may provide classification information associated with the identified object. Next, the electronic device may perform analysis associated with the identified object. For example, the electronic device may increment a count of a number of a type of object that includes the identified object.
Abstract: An electronic device that specifies or determines information associated with an application is described. During operation, the electronic device may identify one or more objects of interest in an acquired image. Then, the electronic device may determine or specify classifications (such as names) for the one or more objects of interest. Moreover, the electronic device may analyze a context of the one or more objects of interest in order to determine one or more inspection criteria. Once the one or more inspection criteria are determined, the electronic device may receive publishing information (such as designated recipients) and privacy settings (such as is the application private or public). Next, the electronic device may generate the application using the specified or determined information, and may publish or provide the application to one or more other electronic devices associated with the designated recipients using the publishing information and the privacy settings.
Abstract: An electronic device that specifies or determines information associated with an application is described. During operation, the electronic device may identify one or more objects of interest in an acquired image. Then, the electronic device may determine or specify classifications (such as names) for the one or more objects of interest. Moreover, the electronic device may analyze a context of the one or more objects of interest in order to determine one or more inspection criteria. Once the one or more inspection criteria are determined, the electronic device may receive publishing information (such as designated recipients) and privacy settings (such as is the application private or public). Next, the electronic device may generate the application using the specified or determined information, and may publish or provide the application to one or more other electronic devices associated with the designated recipients using the publishing information and the privacy settings.