Apparatus and associated methods relate to tracking material based on configuring a container with a sensor adapted to measure the quantity of a material in the container, configuring a display to visually present as a function of time the material quantity relative to a predetermined threshold, determining the material quantity change within a predetermined time period based on captured sensor data, and automatically presenting in the display the material quantity performance displayed as a function of time based on the material quantity change and the predetermined threshold. In an illustrative example, the material may be water, and the container may be a bottle. The threshold may be a consumption performance goal. In various implementations, the container may be luggage, and the threshold may be an accumulation performance goal based on a weight limit. In some examples, the luggage may be, for example, a purse, tote, backpack, or lunchbox. Various embodiments may advantageously display consumption performance as a function of time, relative to a consumption goal.

The present disclosure pertains to a wireless scale, interface and release system for recreational and commercial weighing of items of any kind in a uniform and secure manner, furthermore designed for use on any form of bodies of water, tributaries, ocean, vehicle or land. The present disclosure comprises, scale inside of a waterproof housing, and a user interface to prompt the user through the weighing and release of the item or animal.

Various configurations of picking and packaging carts are disclosed that can be advantageously employed in Ecommerce and retail settings to improve operational efficiency. Examples can preclude the need for a detour from the item retrieval location to a packaging area, prior to delivery to a shipping area, such as a drop-off point. Some examples include a frame; a shelf rack; accessory support units including a printer holder; multiple shipping container support units configured to hold a plurality of shipping containers of a plurality of sizes; and a packaging shelf arrangement comprising a top shelf providing a flat packaging surface.

A peritoneal dialysis machine has a machine housing and a drain pan for receiving one or more solution bags for storing consumed dialysate. The drain pan is connected to a weighing cell such that the weight of the drain pan can be detected by the weighing cell. A damping system prevents the occurrence of undue force introduction into the weighing cell. The damping system has a damper to which the drain pan is directly or indirectly fastened, and the damper is connected to the weighing cell such that the weight of the drain pan acting thereon is transmitted to the weighing cell.

A modular wireless scale system comprising microscales comprises a master scale that may be configured to be used with one or more slave scales. The master scale includes a heavy load cell and a light load cell disposed on opposite sides of a cuboid master housing. The master scale housing encloses a master computer-based microcontroller, a wireless transceiver, an accelerometer, and a power source, and may optionally include a display. The master scale may be used as a stand-alone scale for weights up to the maximum weight supported by the heavy load cell and the scale housing. Each of the slave scales includes a heavy load cell supported by a cuboid housing that encloses a slave computer-based microcontroller, a wireless transceiver, and a power source.

The present invention discloses a weighing and measuring system, comprising a weighing sensor network constituted by networking a plurality of weighing sensors, wherein in the weighing sensor network, each of subtasks into which a weighing task is split is assigned to each of weighing sensors in the weighing sensor network; and each of the weighing sensors respectively and independently executes the assigned subtask and exchanges task data through the weighing sensor network. The weighing sensors collaboratively process a weighing task, which no longer depends on an instrument or a computer; thereby reducing the cost of the whole system, and improving the tolerance level to environment. The collaborative processing mode also avoids the bottleneck of data communication information summarization.

A system for weighing ingredients of food and drink for a recipe application, which comprises a weighing device for use with blenders and food processors that can wirelessly communicate weight measurements and other data to the recipe application on a mobile device or computer. The weighing device can be removably attached to or integrated with the blender or food processor.

A system for measuring and converting food waste is provided. The system includes multiple food waste monitoring devices and a food waste analysis device. These food waste monitoring devices are deployed at different geographical locations. Each of the food waste monitoring devices is configured for obtaining food waste data that includes a reason for waste, a destination of the food waste, and a category of food waste. The food waste data further includes an estimation of the weight of food waste generated by converting the volume of the food waste based on the nature of the food waste. The food waste data is transmitted to the food waste analysis device, which is configured to perform various analysis on the collected food waste data.

A computer-implemented method for operating a set of electronic sensors. The method includes detecting, by one or more sensors embedded in a table, that a tray associated with a user is placed on the table. The method further includes detecting, by the one or more sensors embedded in the table, a first weight of contents on the tray at a first time, and detecting, by the one or more sensors embedded in the table, a second weight of the contents on the tray at a second time. The method further includes determining a final weight of the contents on the tray when the tray is no longer associated with the user.

A method for dynamically managing power consumption, as well as a wake-up method, is disclosed for a wireless weighing platform. The method is initialized by setting both light and deep sleep period, entering a normal operating state, and starting light sleep timing. As long as no weighing operation is detected and the light sleep period has not expired, the method seeks to detect the weighing operation. If the light sleep period expires with no weighing operation, a light sleep state is entered, by turning off a communication function and starting timing for the deep sleep period. If no weighing is when the deep sleep period has expired, the wireless weighing platform enters a deep sleep state, by turning off power supply other than that for an acceleration sensor. If the acceleration sensor detects an effective vibration while in the deep sleep state, the normal operating state is restarted.