Abstract: In an approach to an Internet of Things configuration using eye-based controls, one or more computer processors receive an initiation of eye control of one or more computing devices from a user. One or more computer processors identify an eye gaze direction of the user. Based on the identified eye gaze direction, one or more computer processors determine one or more target devices of the one or more computing devices. One or more computer processors determine one or more activities associated with the one or more target devices. One or more computer processors determine one or more eye control commands associated with the one or more activities. One or more computer processors display the one or more eye control commands associated with the one or more activities in the field of view of the user.

Abstract: In an approach to an Internet of Things configuration using eye-based controls, one or more computer processors receive an initiation of eye control of one or more computing devices from a user. One or more computer processors identify an eye gaze direction of the user. Based on the identified eye gaze direction, one or more computer processors determine one or more target devices of the one or more computing devices. One or more computer processors determine one or more activities associated with the one or more target devices. One or more computer processors determine one or more eye control commands associated with the one or more activities. One or more computer processors display the one or more eye control commands associated with the one or more activities in the field of view of the user.

Abstract: A secure food delivery bag with a single point for securing closure with a lock having an associated QR code or pin code enabled access control. The QR code or pin code is uniquely set for each use of the bag and is provided to the intended recipient of the food at the time the food is placed and locked in the bag. The recipient uses the unique QR code or pin code to access the bag contents upon receipt of the bag.

Abstract: A method is provided to find an optimal charging station for an electric vehicle travelling along an intended route. Optimality can be based on various factors including relative cost savings, the distance required to detour to a charging station, a station charging level indicating how fast charging takes place, and a safety rating for a charging station. The detour charging station might be a mobile facility. The charging station information is downloaded to the vehicle's navigation system on a regular basis, e.g., daily. Relative cost savings is considered as a percentage of the cost of a reference charging station that is on the route, i.e., that would incur no detour deviation. The detour distance is considered as a percentage of the overall trip distance. An operator of the electric vehicle can set threshold constraints for these factors, and the factors can have different priorities for determining optimality.