Identifying inventory items using multiple confidence levels

1. A method for identifying an inventory item, the method comprising:

using first one or more sensors to produce first one or more outputs indicative of an inventory item;

using second one or more sensors to produce second one or more outputs indicative of the inventory item;

generating, based on the first one or more outputs and independent of the second one or more outputs, a first confidence level of the inventory item being a first inventory item;

generating, based on the second one or more outputs and independent of the first one or more outputs, a second confidence level of the inventory item being a second inventory item; and

identifying, based on the first confidence level and the second confidence level, the inventory item as one of the first inventory item or the second inventory item.

2. The method of claim 1 , further comprising generating, based on the first one or more outputs and independent of the second one or more outputs, a third confidence level of the inventory item being the second inventory item.

3. The method of claim 1 , further comprising generating, based on the second one or more outputs and independent of the first one or more outputs, a fourth confidence level of the inventory item being the first inventory item.

4. The method of claim 1 , further comprising:

triggering, at least in part in response to the identifying of the inventory item as the one of the first inventory item or the second inventory item, an action, wherein the triggering of the action comprises one or more of (i) updating a planogram indicating current placement of inventory items in a shopping store, (ii) notifying an employee of the shopping store of a misplaced inventory item and (iii) performing an inventory audit of the shopping store calculating a count of items per SKU in the shopping store.

5. The method of claim 1 ,

wherein the first confidence level is generated as part of a first evaluation of the inventory item that is based on the first one or more outputs and independent of the second one or more outputs,

wherein the first evaluation of the inventory item comprises evaluating a plurality of inventory items and a corresponding plurality of logits,

wherein each logit of the plurality of logits is indicative of a probability of the identified inventory item being a corresponding inventory item of the plurality of inventory items, and

wherein the first confidence level associated with a first logit is indicative of a first probability of the identified inventory item being the first inventory item of the plurality of inventory items.

6. The method of claim 5 ,

wherein the second confidence level is generated as part of a second evaluation of the inventory item that is based on the second one or more outputs and independent of the first one or more outputs,

wherein the second evaluation of the inventory item comprises evaluating the plurality of inventory items and another corresponding plurality of logits,

wherein each logit of the other plurality of logits is indicative of another probability of the identified inventory item being a corresponding inventory item of the plurality of inventory items, and

wherein the second confidence level associated with a second logit is indicative of a second probability of the identified inventory item being the second inventory item of the plurality of inventory items.

7. The method of claim 1 , wherein the generating of the first confidence level of the inventory item being the first inventory item comprises:

utilizing one or more neural network models to generate the first confidence level of the inventory item being the first inventory item.

8. A system including one or more processors coupled to memory, the memory being loaded with computer instructions to identify an inventory item, the instructions, when executed on the processors, implement actions comprising:

using first one or more sensors to produce first one or more outputs indicative of an inventory item;

using second one or more sensors to produce second one or more outputs indicative of the inventory item;

generating, based on the first one or more outputs and independent of the second one or more outputs, a first confidence level of the inventory item being a first inventory item;

generating, based on the second one or more outputs and independent of the first one or more outputs, a second confidence level of the inventory item being a second inventory item; and

identifying, based on the first confidence level and the second confidence level, the inventory item as one of the first inventory item or the second inventory item.

9. The system of claim 8 , wherein the actions further comprise generating, based on the first one or more outputs and independent of the second one or more outputs, a third confidence level of the inventory item being the second inventory item.

10. The system of claim 8 , wherein the actions further comprise generating, based on the second one or more outputs and independent of the first one or more outputs, a fourth confidence level of the inventory item being the first inventory item.

11. The system of claim 8 , further implementing actions comprising:

triggering, at least in part in response to the identifying of the inventory item as the one of the first inventory item or the second inventory item, an action, wherein the triggering of the action comprises one or more of (i) updating a planogram indicating current placement of inventory items in a shopping store, (ii) notifying an employee of the shopping store of a misplaced inventory item and (iii) performing an inventory audit of the shopping store calculating a count of items per SKU in the shopping store.

12. The system of claim 8 ,

wherein the first confidence level is generated as part of a first evaluation of the inventory item that is based on the first one or more outputs and independent of the second one or more outputs,

wherein the first evaluation of the inventory item comprises evaluating a plurality of inventory items and a corresponding plurality of logits,

wherein each logit of the plurality of logits is indicative of a probability of the identified inventory item being a corresponding inventory item of the plurality of inventory items, and

wherein the first confidence level associated with a first logit is indicative of a first probability of the identified inventory item being the first inventory item of the plurality of inventory items.

13. The system of claim 12 ,

wherein the second confidence level is generated as part of a second evaluation of the inventory item that is based on the second one or more outputs and independent of the first one or more outputs,

wherein the second evaluation of the inventory item comprises evaluating the plurality of inventory items and another corresponding plurality of logits,

wherein each logit of the other plurality of logits is indicative of another probability of the identified inventory item being a corresponding inventory item of the plurality of inventory items, and

wherein the second confidence level associated with a second logit is indicative of a second probability of the identified inventory item being the second inventory item of the plurality of inventory items.

14. The system of claim 8 , wherein the generating of the first confidence level of the inventory item being the first inventory item further comprises:

utilizing one or more neural network models to generate the first confidence level of the inventory item being the first inventory item.

15. A non-transitory computer readable storage medium impressed with computer program instructions for identifying an inventory item, the instructions, when executed on a processor, causing the process or to implement a method comprising:

using first one or more sensors to produce first one or more outputs indicative of an inventory item;

using second one or more sensors to produce second one or more outputs indicative of the inventory item;

generating, based on the first one or more outputs and independent of the second one or more outputs, a first confidence level of the inventory item being a first inventory item;

generating, based on the second one or more outputs and independent of the first one or more outputs, a second confidence level of the inventory item being a second inventory item; and

identifying, based on the first confidence level and the second confidence level, the inventory item as one of the first inventory item or the second inventory item.

16. The non-transitory computer readable storage medium of claim 15 , wherein the method further comprises generating, based on the first one or more outputs and independent of the second one or more outputs, a third confidence level of the inventory item being the second inventory item.

17. The non-transitory computer readable storage medium of claim 15 , wherein the method further comprises generating, based on the second one or more outputs and independent of the first one or more outputs, a fourth confidence level of the inventory item being the first inventory item.

18. The non-transitory computer readable storage medium of claim 15 , wherein the method further comprises:

triggering, at least in part in response to the identifying of the inventory item as the one of the first inventory item or the second inventory item, an action, wherein the triggering of the action comprises one or more of (i) updating a planogram indicating current placement of inventory items in a shopping store, (ii) notifying an employee of the shopping store of a misplaced inventory item and (iii) performing an inventory audit of the shopping store calculating a count of items per SKU in the shopping store.

19. The non-transitory computer readable storage medium of claim 15 ,

wherein the first confidence level is generated as part of a first evaluation of the inventory item that is based on the first one or more outputs and independent of the second one or more outputs,

wherein the first evaluation of the inventory item comprises evaluating a plurality of inventory items and a corresponding plurality of logits,

wherein each logit of the plurality of logits is indicative of a probability of the identified inventory item being a corresponding inventory item of the plurality of inventory items, and

wherein the first confidence level associated with a first logit is indicative of a first probability of the identified inventory item being the first inventory item of the plurality of inventory items.

20. The method of claim 1 , further including generating a plurality of confidence levels for a same inventory item, wherein:

each confidence level within the plurality of confidence levels is a corresponding confidence level of the same inventory item being a corresponding particular inventory item; and

each confidence level within the plurality of confidence levels is generated independently of any other confidence level within the plurality of confidence levels.