Available parking space dispatch

Abstract

A computer-implemented method includes identifying a vehicle using a trained convolutional neural network; analyzing an image of a parking area using a machine learning model; and transmitting an identification to a client computing device of the user. A vehicle parking spot dispatch system includes one or more processors; and a memory storing instructions that, when executed by the one or more processors, cause the system to identify a vehicle using a trained convolutional neural network; analyze an image of a parking area using a machine learning model; and transmit an identification to a client computing device of the user. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to identify a vehicle using a trained convolutional neural network; analyze an image of a parking area using a machine learning model; and transmit an identification to a client computing device of the user.

What is claimed: 
     
         1 . A computer-implemented method for performing vehicle spot dispatch, comprising:
 identifying a vehicle corresponding to a user using a trained convolutional neural network;   analyzing an image of a parking area using a machine learning model to identify an available parking space; and   transmitting an identification of the identified available parking space to a client computing device of the user.   
     
     
         2 . The computer-implemented method of  claim 1 , wherein the parking area is a mixed-use parking area. 
     
     
         3 . The computer-implemented method of  claim 1 , wherein one or both of (i) the available parking space is an electric vehicle parking space, and (ii) the vehicle is an electric vehicle. 
     
     
         4 . The computer-implemented method of  claim 1 , wherein analyzing the image of the parking area using the machine learning model to identify the available parking space includes identifying a parking location nearby a location of the user. 
     
     
         5 . The computer-implemented method of  claim 1 , further comprising:
 receiving the image of the parking area from a camera capture device stationed in the parking area.   
     
     
         6 . The computer-implemented method of  claim 1 , further comprising:
 receiving a parking space request from the user; and   enqueueing the parking space request in a parking space request queue.   
     
     
         7 . The computer-implemented method of  claim 6 , wherein transmitting the identification of the identified parking space includes dequeueing the parking space request from the parking space request queue. 
     
     
         8 . A vehicle parking spot dispatch system comprising:
 one or more processors; and   a memory storing instructions that, when executed by the one or more processors, cause the system to:   identify a vehicle corresponding to a user using a trained convolutional neural network;   analyze an image of a parking area using a machine learning model to identify an available parking space; and   transmit an identification of the identified available parking space to a client computing device of the user.   
     
     
         9 . The vehicle parking spot dispatch system of  claim 8 , wherein the parking area is a mixed-use parking area. 
     
     
         10 . The vehicle parking spot dispatch system of  claim 8 , wherein one or both of (i) the available parking space is an electric vehicle parking space, and (ii) the vehicle is an electric vehicle. 
     
     
         11 . The vehicle parking spot dispatch system of  claim 8 , the memory storing further instructions that, when executed by the one or more processors, cause the system to:
 analyze the image of the parking area using the machine learning model to identify the available parking space includes identifying a parking location nearby a location of the user.   
     
     
         12 . The vehicle parking spot dispatch system of  claim 8 , the memory storing further instructions that, when executed by the one or more processors, cause the system to:
 receive the image of the parking area from a camera capture device stationed in the parking area.   
     
     
         13 . The vehicle parking spot dispatch system of  claim 8 , the memory storing further instructions that, when executed by the one or more processors, cause the system to:
 receive a parking space request from the user;   enqueue the parking space request in a parking space request queue.   
     
     
         14 . The vehicle parking spot dispatch system of  claim 13 ,
 dequeue the parking space request from the parking space request queue.   
     
     
         15 . A non-transitory computer readable medium containing program instructions that when executed, cause a computer to:
 identify a vehicle corresponding to a user using a trained convolutional neural network;   analyze an image of a parking area using a machine learning model to identify an available parking space; and   transmit an identification of the identified available parking space to a client computing device of the user.   
     
     
         16 . The non-transitory computer readable medium of  claim 15 , containing further program instructions that when executed, cause the computer to:
 automatically remove the user command when the user command is expired.   
     
     
         17 . The non-transitory computer readable medium of  claim 15  containing further program instructions that when executed, cause the computer to:
 analyze the image of the parking rea using the machine learning model to identify the available parking space includes identifying a parking location nearby a location of the user. 
 
     
     
         18 . The non-transitory computer readable medium of  claim 15  containing further program instructions that when executed, cause the computer to:
 receive the image of the parking area from a camera capture device stationed in the parking area. 
 
     
     
         19 . The non-transitory computer readable medium of  claim 15  containing further program instructions that when executed, cause the computer to:
 receive a parking space request from the user; 
 enqueue the parking space request in a parking space request queue. 
 
     
     
         20 . The non-transitory computer readable medium of  claim 19  containing further program instructions that when executed, cause the computer to:
 dequeue the parking space request from the parking space request queue.