Short range radar use in transportation access systems

1. A transportation system for identifying an object using a short range radar at a transportation gate, the transportation system comprising:

the short range radar is configured to:

determine the object within a predetermined distance from the transportation gate, and

sense the object at the transportation gate to generate a point cloud, wherein the object includes one or more items associated with each other; and

a cloud server comprising a machine learning library, wherein the machine learning library comprises a plurality of machine learning algorithms, the cloud server is configured to:

determine an identification of the object based on sensed data of the object using a first machine learning algorithm, wherein:

the identification is determined based on matching the point cloud with a plurality of profiles;

the plurality of profiles includes matching information for a plurality of predetermined objects; and

the object is selected from the plurality of predetermined objects using the matching information,

determine an authorization for the object to pass through the transportation gate using a second machine learning algorithm, wherein a subset of the plurality of predetermined objects are authorized, and

in response to determination of the authorization, either authorize a passage through the transportation gate or flag the object as being unauthorized.

2. The transportation system for identifying the object using the short range radar at the transportation gate as recited in claim 1 , wherein the object is two or more items.

3. The transportation system for identifying the object using the short range radar at the transportation gate as recited in claim 1 , wherein the cloud server is further configured to:

receive a transit pass associated with the object when the object is authorized to pass through the transportation gate;

determine a payment or privilege associated with the transit pass using the second machine learning algorithm; and

authorize the passage through the transportation gate based on the payment or the privilege associated with the transit pass.

4. The transportation system for identifying the object using the short range radar at the transportation gate as recited in claim 1 , wherein the cloud server is further configured to determine whether a scan condition is detected, wherein the sensed the object at the transportation gate is responsive to determination that the scan condition is detected.

5. The transportation system for identifying the object using the short range radar at the transportation gate as recited in claim 1 , wherein the point cloud is generated by cluster detection of spatial data obtained from the sensed the object using the short range radar.

6. The transportation system for identifying the object using the short range radar at the transportation gate as recited in claim 1 , wherein the cloud server is further configured to determine identification of sub-objects based on the data from the sensed object, wherein the sub-objects have a first minimum threshold intensity in the data from the sensed object that is higher than a second minimum threshold intensity for the object.

7. The transportation system for identifying the object using the short range radar at the transportation gate as recited in claim 1 , wherein the cloud server is further configured to determine whether the object moves a threshold distance within a threshold amount of time.

8. The transportation system for identifying the object using the short range radar at the transportation gate as recited in claim 1 , wherein the cloud server is further configured to update the plurality of profiles based on the identification of the object using the first machine learning algorithm.

9. The transportation system for identifying the object using the short range radar at the transportation gate of claim 1 , wherein the authorization of the passage for the object includes opening barriers of the transportation gate, and wherein the flag associated with the object includes generation of alerts to a transit personnel using sound alarms, and/or visual indications.

10. A method of identifying an object using a short range radar at a transportation gate, the method comprising:

detecting the object within a predetermined distance from the transportation gate;

sensing the object at the transportation gate using the short range radar to generate a point cloud, wherein the object includes one or more items associated with each other;

determining an identification of the object based on data from the sensing using a first machine learning algorithm, wherein:

the identification is determined based on matching the point cloud with a plurality of profiles,

the plurality of profiles includes matching information for a plurality of predetermined objects, and

the object is selected from the plurality of predetermined objects using the matching information;

determining an authorization for the object to pass through the transportation gate using a second machine learning algorithm, wherein a subset of the plurality of predetermined objects are authorized; and

in response to determining the authorization, either authorizing a passage through the transportation gate or flagging the object as being unauthorized.

11. The method of identifying the object using the short range radar at the transportation gate as recited in claim 10 , wherein the object is two or more items.

12. The method of identifying the object using the short range radar at the transportation gate as recited in claim 10 , further comprising:

receiving a transit pass of the object when the object is authorized to pass through the transportation gate;

determining a payment or privilege associated with the transit pass using the second machine learning algorithm; and

authorizing the passage through the transportation gate based on the payment or the privilege associated with the transit pass.

13. The method of identifying the object using the short range radar at the transportation gate as recited in claim 10 , wherein the point cloud is generated by performing cluster detection of spatial data obtained from the sensing of the object using the short range radar.

14. The method of identifying the object using the short range radar at the transportation gate as recited in claim 10 , wherein the plurality of predetermined objects include a transit user or a piece of a luggage.

15. The method of identifying the object using the short range radar at the transportation gate as recited in claim 10 , further comprising determining identification of sub-objects based on the data from the sensing, wherein the sub-objects have a first minimum threshold intensity in the data from the sensing that is higher than a second minimum threshold intensity for the object.

16. The method of identifying the object using the short range radar at the transportation gate as recited in claim 10 , further comprising determining whether the object moves a threshold distance within a threshold amount of time.

17. The method of identifying the object using the short range radar at the transportation gate as recited in claim 10 , further comprising updating the plurality of profiles based on the identification of the object using the first machine learning algorithm.

18. A non-transitory computer-readable medium having instructions stored thereon, wherein the instructions, when executed by one or more processors of a transportation system, cause the transportation system to:

detect an object within a predetermined distance from a transportation gate of the transportation system;

sense the object at the transportation gate using a short range radar to generate a point cloud, wherein the object includes one or more items associated with each other;

determine an identification of the object based on data from the sensed object using a first machine learning algorithm, wherein:

the identification is determined based on matching the point cloud with a plurality of profiles,

the plurality of profiles includes matching information for a plurality of predetermined objects, and

the object is selected from the plurality of predetermined objects using the matching information;

determine an authorization for the object to pass through the transportation gate using a second machine learning algorithm, wherein a subset of the plurality of predetermined objects are authorized; and

in response to determination of the authorization, either authorize a passage through the transportation gate or flag the object as being unauthorized.

19. The non-transitory computer-readable medium as recited in claim 18 , wherein the point cloud is generated by cluster detection of spatial data obtained from the sensed the object using the short range radar.

20. The non-transitory computer-readable medium as recited in claim 18 , wherein the one or more processors of the transportation system are further configured to determine identification of sub-objects based on the data from the sensed object, wherein the sub-objects have a first minimum threshold intensity in the sensed data that is higher than a second minimum threshold intensity for the object.