# US 11,443,519 B2 · Method and system for determining the digital fingerprint of vehicles in transit

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 11,443,519 B2
- Document ID: US11443519B2
- Status: Granted
- Kind: B2
- Application number: 16/868,358
- Filed: 2020-05-06
- Published: 2020-11-12
- Granted: 2022-09-13
- Earliest claimed: 2019-05-08
- Assignees: SINELEC S.p.A.
- Applicants: SINELEC S.p.A.
- Inventors: Pietro Contegno
- Web page: https://patentgrep.com/patent/US11443519B2

## CPC

- G06V 20/54: of traffic, e.g. cars on the road, trains or boats
- G08G 1/0175: {by photographing vehicles, e.g. when violating traffic rules}
- G06N 20/00: Machine learning
- G07B 15/063: {using wireless information transmission between the vehicle and a fixed station (identification of vehicles G08G)}
- G08G 1/0112: {from the vehicle, e.g. floating car data [FCD]}
- G08G 1/0116: {from roadside infrastructure, e.g. beacons}
- G08G 1/0129: {for creating historical data or processing based on historical data}
- G08G 1/015: with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles
- G08G 1/017: identifying vehicles (G08G1/015, G08G1/054 take precedence)
- G08G 1/04: using optical or ultrasonic detectors
- H04W 4/40: for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W 4/80: Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
- G06V 20/625: {License plates}
- G06V 2201/08: Detecting or categorising vehicles
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G08G: TRAFFIC CONTROL SYSTEMS (guiding railway traffic, ensuring the safety of railway traffic B61L; arrangement of road signs or traffic signals E01F9/00; radar or analogous systems, sonar systems, lidar systems specially adapted for traffic control G01S13/91, G01S15/88, G01S17/88; {radar or analogous systems, sonar systems, lidar systems specially adapted for anti-collision purposes G01S13/93, G01S15/93, G01S17/93})
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G07B: TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)

## Abstract

A method for determining the digital fingerprint of vehicles in transit for automatic charge of tolls, fees and/or other possible treatments, comprises the steps of: providing at least one portal along a road with at least one pair of cameras respectively facing upstream and downstream of the portal and with at least one antenna configured to interrogate vehicle on-board devices to receive an identification code therefrom; processing images and signals from the cameras and the antenna to assign each vehicle a series of data which together define a digital fingerprint of each vehicle, in particular by tracking each vehicle shot by the cameras along a track and obtaining from the images acquired along the track data which are used by a classification algorithm for classifying the vehicles.

## Claims

### Claim 1

A method for determining the digital fingerprint of vehicles in transit for automatic charge of tolls, fees and/or other possible treatments, comprising the steps of:
providing at least one portal (2) along a road (3) with at least one pair of cameras (5a, 5b) respectively facing upstream and downstream of the portal (2) in the direction of travel of vehicles on at least one lane (4) of the road (3) to shoot frontally the vehicles approaching the portal (2) and, respectively, from behind the vehicles which, having passed the portal (2), move away from it; and with at least one antenna (6), in particular a DSRC antenna for dedicated short-range communication, configured to interrogate vehicle on-board devices to receive an identification code therefrom;
processing images and signals from the cameras (5a, 5b) and the antenna (6) to assign each vehicle a series of data which together define a digital fingerprint of each vehicle;
wherein the step of processing images and signals is carried out by an artificial intelligence engine to solve possible incongruences and comprises the steps of: comparing all the detected digital fingerprints and automatically correcting an error in a single data item when all the remaining data referred to the same digital fingerprint and to the same vehicle are consistent with and confirmed by other digital fingerprints;
the method being characterized in that the step of processing images and signals comprises the steps of:
processing images acquired by the cameras (5a, 5b) and tracking each vehicle shot by the cameras (5a, 5b) along a track; and
obtaining from the images acquired along the track data which are used by a classification algorithm for classifying the vehicles.

### Claim 2 (depends on 1)

The method according to claim 1, wherein the step of processing images and signals comprises the steps of: assigning a timestamp corresponding to the passage of the vehicle; reading the front plate and the rear plate of the vehicle; calculating the dimensions and/or outline of the vehicle and associating a class and/or a type of vehicle to the vehicle.

### Claim 3 (depends on 1)

The method according to claim 1, wherein the step of processing images and signals is carried out by machine learning algorithms for data acquisition and association to define the digital fingerprints of the vehicles.

### Claim 4 (depends on 1)

The method according to claim 1, wherein a plurality of portals (2) are arranged spaced apart from one another along the road (3).

### Claim 5 (depends on 1)

The method according to claim 1, wherein each camera (5a, 5b) is provided with two different optical systems having respective focal lengths; a first optical system comprising a teleobjective, a second optical system comprising a wide-angle lens.

### Claim 6 (depends on 1)

The method according to claim 1, wherein the cameras (5a, 5b) are IR cameras operating in the infrared field.

### Claim 7 (depends on 6)

The method according to claim 6, wherein the cameras (5a, 5b) are provided with elements sensitive to infrared light, in particular having a wavelength between 2 and 15 μm and preferably between 5 and 12 μm.

### Claim 8 (depends on 1)

The method according to claim 1, wherein the step of processing images and signals comprises a step of interrogating the vehicle on-board devices by means of the antenna (6) and receiving in response a signal representative of an identification code of the vehicle, which is in turn included in the digital fingerprint of the vehicle.

### Claim 9 (depends on 1)

The method according to claim 1, used for collecting fees, such as tolls for transit of vehicles on a toll road, and comprising a step of calculating a due fee according to the digital fingerprint of the vehicle, and transmitting said fee to a payment system (11).

### Claim 10

A system (1) for determining the digital fingerprint of vehicles in transit for automatic charge of tolls, fees and/or other possible treatments, comprising at least one portal (2) positioned along a road (3) and provided with at least one pair of cameras (5a, 5b) respectively facing upstream and downstream of the portal (2) in the direction of travel of vehicles on at least one lane (4) of the road (3) to shoot frontally the vehicles approaching the portal (2) and, respectively, from behind the vehicles which, having passed the portal (2), move away from it; and with at least one antenna (6), in particular a DSRC antenna for dedicated short-range communication, configured to interrogate vehicle on-board devices to receive an identification code therefrom; the system (1) further comprising a data processing system (8), connected to the cameras (5a, 5b) and the antenna (6) and configured so as to process images and signals from the cameras (5a, 5b) and the antenna (6) for assigning each vehicle a series of data which together define a digital fingerprint of each vehicle, wherein the data processing system (8) is provided with an artificial intelligence engine to solve possible incongruences; the artificial intelligence engine being configured so as to compare all the detected digital fingerprints and automatically correct any errors in a single data item when all the remaining data referred to the same digital fingerprint and to the same vehicle are consistent with and confirmed by other digital fingerprints;
the system (1) being characterized in that the data processing system (8) is configured so as to:
process images acquired by the cameras (5a, 5b) and track each vehicle shot by the cameras (5a, 5b) along a track; and
obtain from the images acquired along the track data which are used by a classification algorithm loaded on the data processing system (8) for classifying the vehicles.

### Claim 11 (depends on 10)

The system according to claim 10, wherein, for each vehicle shot by a camera (5a, 5b), the data processing system (8): assigns a timestamp corresponding to the passage of the vehicle; reads the front plate and the rear plate of the vehicle; calculates the dimensions and/or outline of the vehicle and associates a class and/or a type of vehicle to the vehicle.

### Claim 12 (depends on 10)

The system according to claim 10, wherein the data processing system (8) is provided with machine learning algorithms for data acquisition and association to define the digital fingerprints of the vehicles.

### Claim 13 (depends on 10)

The system according to claim 10, wherein the data processing system (8) comprises a local processing unit (9) positioned on the portal (2) and connected to the cameras (5a, 5b) and to the antenna (6) of the portal (2); and a central processing unit (10) connected to the local processing unit (9) and configured to receive and process data transmitted by the local processing unit (9).

### Claim 14 (depends on 10)

The system according to claim 10, comprising a plurality of portals (2) arranged spaced apart from one another along the road (3).

### Claim 15 (depends on 10)

The system according to claim 10, wherein each camera (5a, 5b) is provided with two different optical systems having respective focal lengths; a first optical system comprising a teleobjective, a second optical system comprising a wide-angle lens.

### Claim 16 (depends on 10)

The system according to claim 10, wherein the cameras (5a, 5b) are IR cameras operating in the infrared field.

### Claim 17 (depends on 16)

The system according to claim 16, wherein the cameras (5a, 5b) are provided with elements sensitive to infrared light, in particular having a wavelength between 2 and 15 μm and preferably between 5 and 12 μm.

### Claim 18 (depends on 10)

The system according to claim 10, wherein the antenna (6) is configured so as to interrogate the vehicle on-board devices and to receive in response a signal representative of an identification code of the vehicle, which is in turn included in the digital fingerprint of the vehicle.

### Claim 19 (depends on 10)

The system according to claim 10, used for collecting fees, such as tolls for transit of vehicles on a toll road, and comprising a payment system (11) connected to the data processing system (8), and wherein the data processing system (8) is configured so as to calculate and transmit to the payment system (11) a due fee according to the digital fingerprint of the vehicle.

### Claim 20 (depends on 2)

The method according to claim 2, wherein the step of processing images and signals comprise the step of determining one or more other parameters of the vehicle selected from color, brand, model, and lane used by the vehicle.

### Claim 21 (depends on 11)

The system according to claim 11, wherein the data processing system determines one or more other parameters of the vehicle selected from color, brand, model, and lane used by the vehicle.