A medication container encoding, verification and identification method is provided that includes receiving data characterizing a medication, generating an identifier encapsulating the data and applying an identifier to a medication container such that it is automatically readable by a medication device. Related apparatus, systems, methods and articles are also described.

This disclosure provides a visual analytical method of verifying dispensed pills. In a preferred embodiment, a camera captures one or more parameters of each pill as it travels along a dispense path. The camera stores the parameters, and a processor displays the parameters or evaluates whether the parameters are within a threshold limit for the dispensed pill. If the parameter is outside the threshold, the pill or the receptacle is separated and/or removed. If all the parameters are within the threshold, the pill is stored in a receptacle, and the images are processed and archived for future verification. The process is repeated for each pill in the dispenser. The system captures at least one verification image for every pill dispensed into the receptacle.

A pill dispensing assembly comprises a pill bottle that is securely locked between a base and an attachable sleeve. The pill bottle and base form an enclosure in which pills are stored above a top portion of a dosing mechanism of the base. The top portion of the dosing mechanism comprises a ramp and a rotating arm that carries a pill from a base of the ramp to a position in which the pill will drop through an aperture in a bottom portion of the dosing mechanism into a channel that connects the aperture to a dispensing slot in a housing of the base. The base includes a microcontroller that interacts with a servomotor to control rotation of the arm and thereby the dispensing of a pill. The base also includes a wireless communication interface that enables the dispensing of the pill to be controlled by a remote entity.

Provided are a smart bottle and a method for controlling the smart bottle. A smart bottle comprises a bottle for containing liquid; a base formed to be combined to one side of the bottle; a first sensor installed in the bottle or the base, and configured to obtain level information of liquid contained in the bottle; a third sensor configured to obtain inclination information of the bottle; a heater configured to heat the liquid contained in the bottle; a controller configured to control operation of the heater based on the temperature information, determine a feeding start and a feeding end based on the inclination information, and modify the level information based on the inclination information; a communication unit configured to transmit the inclination information and the level information to an external device; and a battery configured to supply power to the first sensor and the base.

Technologies are described for delivering an active agent using an ingestible pill device, securing medication package content, and monitoring the medication package content. Examples of the technology include using an ingestible pill device to deliver an active agent, where release of the active agent can be based on patient authentication, analyzing sensor data to determine a condition for releasing the active agent, analyzing image data to identify a release point, etc. Examples of the technology also include using a monitoring device to secure a medication package using a cover and locking device, monitoring the medication package to detect access to the medication package, and tracking access to the medication package to determine medication adherence.

Methods and apparatus for monitoring the content of a chamber of a container via electrical capacitive tomography (ECT) or acoustic imaging are presented. The three-dimensional volume of the chamber and its content are imaged by developing a map of permittivity or acoustic impedance by (1) applying a stimulus signal between each of a plurality of electrode pairs of a plurality of electrodes that is arranged about the chamber and (2), for each stimulus signal applied, measuring a response signal at each of the remaining electrodes of the plurality. Once the map of permittivity or acoustic impedance is established, the number and type of tablets (or liquid) within the chamber is determined.

A device for detecting a tampering of a product in a product packaging material. The device comprises a network of sensors integrated into the product packaging material; a microcontroller, the microcontroller configured to detect, by accessing the sensors of the sensor network, the tampering of the product packaging material; and a communication device for relaying information regarding a status of the product packaging material.

The disclosed systems and methods provide a smart container or bin. A container bin assembly includes a bin body, a latching mechanism, and controller. A method includes receiving, via a communication interface, an authenticated request to access the smart container, actuating an electromechanical latch to disengage a fastening hook, thereby initiating a mechanical movement of an access component to make an internal compartment accessible, outputting, via an audiovisual element, an alert to identify the container, confirming that the electromechanical latch has re-engaged with the fastening hook, thereby securing the internal compartment, determining a change in a local inventory, and updating the local inventory in a non-volatile data store according to the change.

Systems and methods of dynamic biometric detection and response are provided for the purpose of establishing baseline health status while conveying real-time drug prescription usages and reactions from baseline data. The dynamic monitoring system may be embedded within a wristband, ring, vest, and/or waistband in wireless communication with a computing device or server. Each wearable device may employ interchangeable and embedded sensors to detect inertia movements; 360-imaging fall detections; and a variety of body-emitting vital signs. The system may include a processor operable to sense user location, motion, activity, and biomarkers for the purpose of detecting the user's behavior pattern, wherein an enhanced machine-learning algorithm is used to identify repetitive actions within the user's behavior pattern; and, based upon this pattern, the system is able to detect one or more anomalies for the purpose of generating an anomaly alert for third party notification and quantitative analysis at a server.

A medication adherence tracking device is configured for being attached to a cap of a conventional medication container. The tracking device includes an adhesive layer for attaching the device to the cap. The device also includes an infrared proximity sensor for detecting an amount of light that is reflected by a wall surface and/or a bottom surface of the medication container. A transmitter of the tracking device transmits adherence data to an external computing device, wherein the adherence data comprises a timestamp identifying when the cap was removed from the container. Reflected light data obtained by the sensor is sent to a processor, and the processor uses the data to determine whether the cap has been removed from the container. When the cap is removed from the container, the processor generates the timestamp.