Abstract: An exemplary computer vision system implemented by a multi-access edge computing (“MEC”) server integrated within a provider network accesses an image captured by an image capture device coupled with the MEC server via the provider network. The image depicts a product that is to comply with a predefined product standard. The computer vision system identifies a criterion that is associated with the predefined product standard, and a region of the image that is associated with a product condition that is to be verified for compliance with the criterion. The computer vision system determines whether the product condition complies with the identified criterion for the identified region of the image, and, based on this determination, generates compliance verification data indicative of whether the product complies with the predefined product standard. The computer vision system also provides the compliance verification data to a monitoring system separate from the MEC server.

Abstract: An illustrative multi-access server system obtains trajectory data from a plurality of client devices engaged in a massive multiplayer application. The trajectory data is representative of asynchronous attempts, by users of the plurality of client devices, to direct respective virtual objects associated with each client device to a target at a real-world location and associated with a real-world event. Based on the trajectory data, the system determines a plurality of virtual trajectories for the asynchronous attempts to direct the respective virtual objects to the target, and, based on the plurality of virtual trajectories, renders a plurality of videos that each concurrently depict the asynchronous attempts to direct the respective virtual objects to the target. The system also streams different videos to different client devices, including customized videos for each client device. Corresponding methods and systems are also disclosed.

Abstract: An illustrative multi-access server system obtains trajectory data from a plurality of client devices engaged in a massive multiplayer application. The trajectory data is representative of asynchronous attempts, by users of the plurality of client devices, to direct respective virtual objects associated with each client device to a target at a real-world location and associated with a real-world event. Based on the trajectory data, the system determines a plurality of virtual trajectories for the asynchronous attempts to direct the respective virtual objects to the target, and, based on the plurality of virtual trajectories, renders a plurality of videos that each concurrently depict the asynchronous attempts to direct the respective virtual objects to the target. The system also streams different videos to different client devices, including customized videos for each client device. Corresponding methods and systems are also disclosed.

Abstract: An exemplary computer vision system implemented by a multi-access edge computing (“MEC”) server integrated within a provider network accesses an image captured by an image capture device coupled with the MEC server via the provider network. The image depicts a product that is to comply with a predefined product standard. The computer vision system identifies a criterion that is associated with the predefined product standard, and a region of the image that is associated with a product condition that is to be verified for compliance with the criterion. The computer vision system determines whether the product condition complies with the identified criterion for the identified region of the image, and, based on this determination, generates compliance verification data indicative of whether the product complies with the predefined product standard. The computer vision system also provides the compliance verification data to a monitoring system separate from the MEC server.