Facilitating ML algorithm contribution to use cases where data is prohibitive

A system comprising:

• a management device comprising:
• a memory storing instructions thereon;
• and
• at least one processor coupled to the memory and configured by the instructions to:
• identify training information including a plurality of stray training reads and a plurality of valid training reads;
• determine modified training information based at least in part on modifying the plurality of valid training reads;
• and
• generate a model for distinguishing a valid read from a stray read based on the modified training information and an evolutionary algorithm, the model to be employed to identify a plurality of valid tag reads captured at a monitoring device.

A non-transitory computer-readable device having instructions thereon that, when executed by at least one computing device, causes the at least one computing device to perform operations comprising:

• determining training information including a plurality of stray training reads and a plurality of valid training reads;
• determining modified training information based at least in part on modifying the plurality of valid training reads;
• generating a model for distinguishing a valid read from a stray read based on the modified training information and an evolutionary algorithm;
• detecting, by a monitoring device, a plurality of tag reads in response to a plurality of interactions between a tag and the monitoring device;
• and
• determining, by the monitoring device, a plurality of valid tag reads based on the model and plurality of tag reads.