A method of confirming the identity of a person who issued a token to signify eligibility for a privilege. Possession token is confirmed to be by the same person by using sensors in the token which track the movements of the person. A machine learning system is trained to evaluate the sensor data detecting transfer of possession of the token. The state of continuous possession since the token was issued or set to an enabled state is confirmed and the privilege is granted. The method of identity confirmation is used in various contexts such as for to control entry to a location, use of a facility or service. It is also useful to determine continuous possession of a weapon to prevent misuse after the weapon is stolen, dropped or lost. Servers, beacons and outside sources of data or inputs to be measured by the sensor can also be used.

A system and method for counting persons using passages to an area by analyzing vibrations in the floor or the air above the floor with sensors and a machine learning system. The machine learning system uses a model, usually implemented as a neural network on a processor. The network is trained in levels and implemented in layers. Different levels classify and analyze vibrations by timing and frequency, by movements of persons, and by identity of persons The same person is identified by patterns in the vibrations and the vibrations are correlated to determine and count when a person uses a combination of passages. Location information for the person is used to identify persons in places and doing activities of interest. The model may be trained on one processor and downloaded to another processor for evaluation. Additional sensors and levels of training may be implemented on the latter processor.

A method of confirming the identity of a person issued a token and to track that person Possession of the token by the same person is confirmed by using sensors in the token which track the movements of the person. A machine learning system is trained to evaluate the sensor data detecting transfer of possession of the token. The state of continuous possession since the token was issued or set to an enabled state is confirmed and the token is tracked. The method of identity confirmation is used in various contexts such as for to control entry to a location, use of a facility or service. It is also useful to determine continuous possession of a weapon to prevent misuse after the weapon is stolen, dropped or lost. Servers, beacons and outside sources of data or inputs to be measured by the sensor can also be used.

A smart tag reading system is provided that has the ability to query sensor tags that have energy harvesting capability. In one embodiment, an adaptive reader system learns the state of each tag and how long the tag takes to charge. Tags that charge relatively quickly can be accessed more frequently. Others that do not charge as quickly, readings can be performed at much longer intervals allowing the tag a longer time to gather enough energy to complete the transaction. The reader query system can then adapt to the environment and state of the individual tags.

Aspects described herein may allow for a payment card assembly includes a payment card and a battery positioned in the payment card. A power generating device is positioned in the payment card, has a driven gear, and is electrically connected to the battery. A rotatable drive gear mounted to the payment card engages the driven gear of the power generating device.

A tracking system comprising a tag reader comprising an interrogating antenna. One or more tags comprising an electrical energy generator configured to convert environmental energy to electrical energy. A radio frequency, RF, communication circuit. A controller configured to use the electrical energy generated by the electrical energy generator to transmit a data signal to the tag reader using the RF communication circuit.

A method of confirming the identity of a person who issued a token to signify eligibility for a privilege. Possession token is confirmed to be by the same person by using sensors in the token which track the movements of the person. A machine learning system is trained to evaluate the sensor data detecting transfer of possession of the token. The state of continuous possession since the token was issued or set to an enabled state is confirmed and the privilege is granted. The method of identity confirmation is used in various contexts such as for to control entry to a location, use of a facility or service. It is also useful to determine continuous possession of a weapon to prevent misuse after the weapon is stolen, dropped or lost. Servers, beacons and outside sources of data or inputs to be measured by the sensor can also be used.

Systems and methods for operating a tag. The method comprising: causing motion of a spherical permanent magnet which is disposed and freely movable in a three dimensional internal space of a non-magnetic hollow sphere located within the tag; using the spherical permanent magnet's motion to cause a change in a magnetic flux in a wire wrapped around at least a portion of the non-magnetic hollow sphere, where the change in the magnetic flux induces a current in the wire; and supplying the current to at least one device of the tag's internal electronic devices that is configured to facilitate at least one of an inventory count and an inventory security.

A system and method for counting persons using passages to an area by analyzing vibrations in the floor or the air above the floor with sensors and a machine learning system. The machine learning system uses a model, usually implemented as a neural network on a processor. The network is trained in levels and implemented in layers. Different levels classify and analyze vibrations by timing and frequency, by movements of persons, and by identity of persons The same person is identified by patterns in the vibrations and the vibrations are correlated to determine and count when a person uses a combination of passages. Location information for the person is used to identify persons in places and doing activities of interest. The model may be trained on one processor and downloaded to another processor for evaluation. Additional sensors and levels of training may be implemented on the latter processor.

The described payment device includes an integrated power source including a piezoelectric accelerometer. Upon motion of the payment device, kinetic energy may be translated to a mass of the piezoelectric accelerometer to generate electrical energy to power other functions of the payment device. Motion translated to the piezoelectric accelerometer may also be used in combination with other inputs to implement security functions of the payment device.