WO2005091243A1 - Method and system for verifying a traffic violation image - Google Patents

Method and system for verifying a traffic violation image Download PDF

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Publication number
WO2005091243A1
WO2005091243A1 PCT/ZA2005/000042 ZA2005000042W WO2005091243A1 WO 2005091243 A1 WO2005091243 A1 WO 2005091243A1 ZA 2005000042 W ZA2005000042 W ZA 2005000042W WO 2005091243 A1 WO2005091243 A1 WO 2005091243A1
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WO
WIPO (PCT)
Prior art keywords
traffic violation
image
verification data
operational parameters
violation image
Prior art date
Application number
PCT/ZA2005/000042
Other languages
French (fr)
Inventor
Rüdiger Heinz GEBERT
Original Assignee
Gebert Ruediger Heinz
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Gebert Ruediger Heinz filed Critical Gebert Ruediger Heinz
Priority to EP05752457A priority Critical patent/EP1719091B1/en
Priority to US10/598,121 priority patent/US7528741B2/en
Priority to AU2005223286A priority patent/AU2005223286B2/en
Priority to DE602005003108T priority patent/DE602005003108T2/en
Publication of WO2005091243A1 publication Critical patent/WO2005091243A1/en

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
    • G08G1/054—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed photographing overspeeding vehicles

Definitions

  • This invention relates to a method and associated system for verifying a traffic violation image.
  • Traffic offences may be repudiated in a court of law.
  • the accuracy of the equipment used to capture a traffic violation is often questioned in these cases.
  • the following invention seeks to provide more concrete proof that a traffic violation took place.
  • a method of verifying a traffic violation image which method includes the following steps, in any order: automatically sensing whether or not a vehicle commits a traffic violation; automatically capturing an image which shows the vehicle committing a traffic violation if it is sensed that the vehicle has committed a traffic violation; obtaining verification data which verifies that the step of sensing is accurate within acceptable limits; and automatically combining the obtained verification data with the captured traffic violation image to provide proof of the accurate sensing of the traffic violation.
  • the method facilitates the traceability of calibration to a national or international measuring standard for traffic violation detection equipment used to sense and capture traffic violations, e.g. speed limit infringements, non-compliance with traffic signs, and/or the like.
  • the step of sensing may include measuring the speed of a vehicle traveling along a road.
  • the step of sensing may include sensing whether a vehicle disobeys a traffic indicator, e.g. a red light, or the like.
  • the step of capturing the traffic violation image may include photographically capturing the image on film.
  • the step of capturing the traffic violation image may include capturing the image in digital format.
  • the captured traffic violation image may be digitally encrypted.
  • the captured traffic violation image may be digitally signed.
  • the step of obtaining the verification data may include obtaining first calibration data which verifies the calibration history of equipment used to sense the traffic violation and/or second calibration data which verifies the calibration history of equipment used to capture the traffic violation image.
  • the first and/or second calibration data may be obtained from an engineer.
  • the step of obtaining the first and/or second calibration data may include retrieving the calibration data from an electronic storage means.
  • the first and/or second calibration data stored in the storage means may be periodically updated by an engineer.
  • the first and/or second calibration data may be automatically generated by suitably configured calibration equipment.
  • the first and/or second calibration data may include any set of operations, performed in accordance with a definite, documented procedure that compares the measurements performed by an instrument to those made by a more accurate instrument or standard, for the purpose of detecting and reporting, or eliminating by adjustment, errors in the instrument tested.
  • the first and/or second calibration data may include validation by means of a digital signature.
  • the equipment used to sense the traffic violation includes any suitable sensor, and the equipment used to capture the image generally includes a camera.
  • the step of obtaining the verification data may include obtaining operational parameters of the sensor and/or camera used to capture the traffic violation image.
  • the operational parameters may include ambient conditions of the sensor and/or camera used to capture the traffic violation image, such as temperature, humidity, light intensity, and/or similar environmental conditions.
  • the operational parameters may include operating levels of components comprising the sensor and/or camera used to capture the traffic violation image, e.g. voltage levels, current levels, and/or the like.
  • the operational parameters may include the geographic location where the image is captured. The geographic location may be specified by an engineer installing the sensor and/or camera used to capture the traffic violation image.
  • the geographic location may be supplied by a Global Positioning System (GPS).
  • GPS Global Positioning System
  • the operational parameters may include a unique identifying number of an engineer who installed the sensor and/or camera used to capture the traffic violation image.
  • the operational parameters may include identification numbers of components comprising the sensor and/or camera used to capture the traffic violation image.
  • the operational parameters may include a preprogrammed speed limit which, when exceeded by a vehicle sensed by the sensor, triggers the step of capturing the traffic violation image.
  • the operational parameters may include a grace time period before the step of capturing is triggered by the step of sensing, e.g. the grace time period afforded a motorist after an intersection light has changed before a traffic camera will record if the motorist fails to stop at the intersection.
  • the operational parameters may represent real-time values, typically obtained at the same time that the image is captured. Accordingly, the operational parameters typically include the time and date when the violation image is captured.
  • the step of obtaining the verification data and the step of capturing the traffic violation image may be performed simultaneously.
  • the step of combining the verification data with the traffic violation image may include imposing the verification data onto the traffic violation image.
  • the step of combining the verification data may include digitally signing and encrypting the verification data together with a digital violation image.
  • the step of combining the verification data with the traffic violation image may include printing the verification data onto the traffic violation image.
  • the method may further include the step of storing the verified image on a suitably configured storage means.
  • the method may include the step of transmitting the verified image to a remote location.
  • a system for verifying a traffic violation image which system includes: A sensor for automatically sensing whether or not a vehicle commits a traffic violation; a camera arranged in communication with the sensor which camera is configured to automatically capture an image of a vehicle committing a traffic violation if it is sensed that the vehicle has committed a traffic violation; and a processor arranged in communication with the camera which processor is configured to obtain verification data which verifies that the sensor senses accurately within acceptable limits, and to combine the obtained verification data with the captured traffic violation image to provide proof of the accurate sensing of the traffic violation.
  • the sensor is generally configured to sense whether a vehicle commits a traffic violation, such as, for example exceeding a speed limit, disobeying a road sign, or the like, and may include radar detection, laser detection, an inductive loop, a mechanical switch, an electromechanical switch, piezo-electric sensors, fibre optic sensors, or the like.
  • the camera may be a digital camera, i.e. a camera which captures images in electronic format.
  • the camera may capture images on photographic film.
  • the traffic violation image may be stored in digital format.
  • the traffic violation image may be digitally signed.
  • the traffic violation image may be digitally encrypted.
  • the verification data may include first calibration data for verifying the calibration history of the sensor and/or second calibration data for verifying the calibration history of the camera.
  • the system may include a storage means for storing the first and/or second calibration data. Accordingly, the processor may obtain the calibration data from the storage means.
  • the first and/or second calibration data stored in the storage means may be periodically updated by an engineer.
  • the first and/or second calibration data may include any set of operations, performed in accordance with a definite, documented procedure that compares the measurements performed by an instrument to those made by a more accurate instrument or standard, for the purpose of detecting and reporting, or eliminating by adjustment, errors in the instrument tested.
  • the first and/or second calibration data may include validation by means of a digital signature.
  • the processor may obtain verification data by obtaining operational parameters of the sensor and/or camera used to capture the traffic violation image.
  • the operational parameters may include ambient conditions of the sensor and/or camera used to capture the traffic violation image, such as temperature, humidity, light intensity, and/or similar environmental conditions.
  • the operational parameters may include operating levels of components comprising the sensor and/or camera used to capture the traffic violation image, e.g. voltage levels, current levels, and/or the like.
  • the operational parameters may include the geographic location where the image is captured.
  • the geographic location may be specified by an engineer installing the sensor and/or camera used to capture the traffic violation image.
  • the geographic location may be supplied by a Global Positioning System (GPS).
  • GPS Global Positioning System
  • the operational parameters may include a unique identifying number of an engineer who installed the sensor and/or camera used to capture the traffic violation image.
  • the operational parameters may include identification numbers of components comprising the sensor and/or camera used to capture the traffic violation image.
  • the operational parameters may include a preprogrammed speed limit which, when exceeded by a vehicle sensed by the sensor, triggers the camera which captures the traffic violation image.
  • the operational parameters may include a grace time period before the camera is triggered by the sensor.
  • the processor may obtain the operational parameters as real-time values, typically obtained at the same time that the image is captured. Accordingly, the operational parameters typically include the time and date when the violation image is captured.
  • the processor may obtain the verification data at the same time that the camera captures the traffic violation image.
  • the processor may combine the verification data with the traffic violation image by imposing the verification data onto the traffic violation image.
  • the processor may combine the verification data with the image by digitally signing and encrypting the verification data together with the violation image.
  • the processor may combine the verification data with the traffic violation image by facilitating the printing of the verification data onto the traffic violation image.
  • the system may include a printing means for printing the violation image and the verification data onto a suitable surface.
  • the processor may store the verified violation image on the storage means.
  • the processor may transmit the verified violation image to a remote location.
  • Figure 1 shows a schematic diagram of a method of verifying a traffic violation image, in accordance with the invention
  • Figure 2 shows a schematic representation of a system for verifying a traffic violation image, in accordance with the invention.
  • a method of verifying a traffic violation image is generally indicated by reference numeral 10
  • a system for verifying a traffic violation image is generally indicated by reference numeral 30.
  • the method 10 of verifying a traffic violation image includes the steps of automatically sensing 12 whether or not a vehicle commits a traffic violation, automatically capturing 14 an image which shows a vehicle committing a traffic violation if it is sensed 12 that the vehicle has committed a traffic violation, obtaining 16 verification data which verifies that the step of sensing 12 is accurate within acceptable limits; and automatically combining 18 the obtained verification data with the captured traffic violation image to provide proof of the accurate sensing of the traffic violation.
  • the step of sensing 12 typically comprises measuring the speed of a vehicle traveling along a road, but may also include sensing 12 whether a vehicle disobeys a traffic indicator, e.g. a red light, or the like.
  • the step of sensing 12 is performed by sensor 28 which automatically senses 12 whether or not a vehicle commits a traffic violation.
  • the sensor 28 includes any sensor configured to sense 12 whether or not a vehicle commits a traffic violation, and includes radar detection, laser detection, a mechanical switch, a hydraulic switch, a pneumatic switch, an electromechanical switch, or the like. In this embodiment of the invention, the sensor 28 is presented in the form of a piezo-electric sensor 28.
  • the step of capturing 14 the traffic violation image is achieved by capturing 14 the image in digital format. It is to be appreciated that, in other embodiments, the image may be photographically captured on film.
  • the captured traffic violation image is typically digitally signed and encrypted.
  • a digital camera 40 captures the image in electronic format. It is to be appreciated that the camera only captures the image when the camera 40 is triggered by the sensor 28.
  • the step of obtaining 16 the verification data includes obtaining 16 calibration data 20 and operational parameters 22 of the sensor 28 and camera 40.
  • first calibration data refers to the calibration data used to verify the calibration history of the sensor 28
  • second calibration data refers to calibration data used to verify the calibration history of the camera 40.
  • calibration data refers to the first and/or second calibration data.
  • the calibration data may be retrieved from a storage means 34.
  • the calibration data 20 stored in the storage means 34 is generally periodically updated by an engineer who calibrates the sensor 28 and camera 40.
  • the calibration data 20 is typically validated by means of a digital signature.
  • the calibration data may include any set of operations, performed in accordance with a definite, documented procedure that compares the measurements performed by an instrument to those made by a more accurate instrument or standard, for the purpose of detecting and reporting, or eliminating by adjustment, errors in the instrument tested.
  • the operational parameters 22 typically include ambient conditions of the sensor 28 and camera 40 used to capture the traffic violation image, such as temperature, humidity, light intensity, and/or similar environmental conditions.
  • the operational parameters 22 further include operating levels of the individual components comprising the sensor 28 and camera 40 used to capture the traffic violation image, e.g. voltage levels, current levels, and the like.
  • the operational parameters 22 also include the geographic location where the image is captured. In this embodiment of the invention, the geographic location is programmed by an engineer installing the sensor 28 and camera 40. In other embodiments, the geographic location may be supplied by a Global Positioning System (GPS).
  • GPS Global Positioning System
  • the operational parameters further include a unique identifying number of the engineer who installed the sensor 28 and the camera 40.
  • the operational parameters also include identification numbers of the individual components comprising the sensor 28 and the camera 40.
  • the operational parameters 22 generally also include a preprogrammed speed limit which, when exceeded by a vehicle sensed by the sensor 28, triggers the camera 40 to capture an image.
  • the operational parameters 22 include a grace time period before the camera 40 is triggered by the sensor 28, e.g. the grace time period afforded a motorist after an intersection light has changed before a traffic camera will record if the motorist fails to stop at the intersection.
  • the operational parameters 22 represent real-time values, typically obtained at the same time that the image is captured.
  • the processor 38 obtains 16 the operational parameters 22 through monitoring apparatus 36 arranged in communication with the processor 38, the storage means 34, the camera 40, and the sensor 40. It is to be appreciated that the monitoring apparatus facilitates the processor 38 obtaining 16 the operational parameters 22.
  • the step of combining 18 the verification data with the traffic violation image is achieved by digitally imposing the verification data onto the traffic violation image.
  • the step of combining 18 the verification data may include digitally signing and encrypting the verification data together with a digital violation image, or the step of combining 18 may include printing the verification data onto the traffic violation image.
  • the processor 38 digitally imposes the verification data onto the traffic violation image.
  • the processor 38 then stores the verified image on the storage means 34.
  • the method 10 includes the step of transmitting 26 the verified image to a remote location.
  • the system 30 includes a transmitter 42 for transmitting 26 the verified image to a remote location.
  • the sensor 28 triggers the camera 40 to capture an image of the violation which image typically shows a vehicle for identification purposes.
  • the processor 38 then superimposes the digitally signed calibration data and the operational parameters 22 of the sensor 28 and camera 40 onto the image.
  • This combining 18 of the verification data with the image accordingly provides a validated violation image which includes the time and date of the violation, the ambient conditions under which the violation took place, identifying numbers of the components used to capture the violation, location of the violation, digitally signed calibration data of the sensor 28 and camera 40 used to capture the violation, operating levels of the components used to capture the violation, details of the transgression, and an image of a transgressor. This is particularly useful for establishing irrefutable evidence against the transgressor in a court of law.
  • the system 30 is integrated into the housing 32 of a traffic camera 40.
  • the Inventor regards it as an advantage that the invention enables the establishment of traceability of calibration for equipment used in capturing traffic violations, thereby providing more concrete proof that a traffic transgression has taken place.
  • the combining of the verification data into a traffic violation image makes the refuting of the violation by a transgressor much more difficult in a court of law.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

A method 10 of verifying a traffic violation image and includes the step of automatically sensing 12 whether or not a vehicle commits a traffic violation, the step of automatically capturing 14 an image which shows a vehicle committing a traffic violation if it is sensed 12 that the vehicle has committed a traffic violation, the step of obtaining 16 verification data which verifies that the step of sensing 12 is accurate within acceptable limits, and the step of automatically combining 18 the obtained verification data with the captured traffic violation image to provide proof of the accurate sensing of the traffic violation. Also provided is an associated system.

Description

METHOD AND SYSTEM FOR VERIFYING A TRAFFIC VIOLATION IMAGE
FIELD OF THE INVENTION
This invention relates to a method and associated system for verifying a traffic violation image.
BACKGROUND TO THE INVENTION
Traffic offences may be repudiated in a court of law. The accuracy of the equipment used to capture a traffic violation is often questioned in these cases. The following invention seeks to provide more concrete proof that a traffic violation took place.
SUMMARY OF THE INVENTION
According to one aspect of the invention there is provided a method of verifying a traffic violation image which method includes the following steps, in any order: automatically sensing whether or not a vehicle commits a traffic violation; automatically capturing an image which shows the vehicle committing a traffic violation if it is sensed that the vehicle has committed a traffic violation; obtaining verification data which verifies that the step of sensing is accurate within acceptable limits; and automatically combining the obtained verification data with the captured traffic violation image to provide proof of the accurate sensing of the traffic violation. It is to be appreciated that the method facilitates the traceability of calibration to a national or international measuring standard for traffic violation detection equipment used to sense and capture traffic violations, e.g. speed limit infringements, non-compliance with traffic signs, and/or the like. This traceability of calibration enables the tracing of the calibration details of the specific traffic violation detection equipment to establish that the violations recorded by the equipment are indeed accurate and irrefutable. This establishing of accuracy for traffic violations has direct application in a court of law when the validity of recorded traffic violations is disputed.
The step of sensing may include measuring the speed of a vehicle traveling along a road. The step of sensing may include sensing whether a vehicle disobeys a traffic indicator, e.g. a red light, or the like.
The step of capturing the traffic violation image may include photographically capturing the image on film. The step of capturing the traffic violation image may include capturing the image in digital format. The captured traffic violation image may be digitally encrypted. The captured traffic violation image may be digitally signed.
The step of obtaining the verification data may include obtaining first calibration data which verifies the calibration history of equipment used to sense the traffic violation and/or second calibration data which verifies the calibration history of equipment used to capture the traffic violation image. The first and/or second calibration data may be obtained from an engineer. The step of obtaining the first and/or second calibration data may include retrieving the calibration data from an electronic storage means. The first and/or second calibration data stored in the storage means may be periodically updated by an engineer. The first and/or second calibration data may be automatically generated by suitably configured calibration equipment. The first and/or second calibration data may include any set of operations, performed in accordance with a definite, documented procedure that compares the measurements performed by an instrument to those made by a more accurate instrument or standard, for the purpose of detecting and reporting, or eliminating by adjustment, errors in the instrument tested. The first and/or second calibration data may include validation by means of a digital signature.
It is to be appreciated that the equipment used to sense the traffic violation includes any suitable sensor, and the equipment used to capture the image generally includes a camera. Accordingly, the step of obtaining the verification data may include obtaining operational parameters of the sensor and/or camera used to capture the traffic violation image. The operational parameters may include ambient conditions of the sensor and/or camera used to capture the traffic violation image, such as temperature, humidity, light intensity, and/or similar environmental conditions. The operational parameters may include operating levels of components comprising the sensor and/or camera used to capture the traffic violation image, e.g. voltage levels, current levels, and/or the like. The operational parameters may include the geographic location where the image is captured. The geographic location may be specified by an engineer installing the sensor and/or camera used to capture the traffic violation image. The geographic location may be supplied by a Global Positioning System (GPS). The operational parameters may include a unique identifying number of an engineer who installed the sensor and/or camera used to capture the traffic violation image. The operational parameters may include identification numbers of components comprising the sensor and/or camera used to capture the traffic violation image.
The operational parameters may include a preprogrammed speed limit which, when exceeded by a vehicle sensed by the sensor, triggers the step of capturing the traffic violation image. The operational parameters may include a grace time period before the step of capturing is triggered by the step of sensing, e.g. the grace time period afforded a motorist after an intersection light has changed before a traffic camera will record if the motorist fails to stop at the intersection. The operational parameters may represent real-time values, typically obtained at the same time that the image is captured. Accordingly, the operational parameters typically include the time and date when the violation image is captured.
The step of obtaining the verification data and the step of capturing the traffic violation image may be performed simultaneously.
The step of combining the verification data with the traffic violation image may include imposing the verification data onto the traffic violation image. The step of combining the verification data may include digitally signing and encrypting the verification data together with a digital violation image. The step of combining the verification data with the traffic violation image may include printing the verification data onto the traffic violation image.
The method may further include the step of storing the verified image on a suitably configured storage means.
The method may include the step of transmitting the verified image to a remote location. According to a second aspect of the invention there is provided a system for verifying a traffic violation image which system includes: A sensor for automatically sensing whether or not a vehicle commits a traffic violation; a camera arranged in communication with the sensor which camera is configured to automatically capture an image of a vehicle committing a traffic violation if it is sensed that the vehicle has committed a traffic violation; and a processor arranged in communication with the camera which processor is configured to obtain verification data which verifies that the sensor senses accurately within acceptable limits, and to combine the obtained verification data with the captured traffic violation image to provide proof of the accurate sensing of the traffic violation.
The sensor is generally configured to sense whether a vehicle commits a traffic violation, such as, for example exceeding a speed limit, disobeying a road sign, or the like, and may include radar detection, laser detection, an inductive loop, a mechanical switch, an electromechanical switch, piezo-electric sensors, fibre optic sensors, or the like.
The camera may be a digital camera, i.e. a camera which captures images in electronic format. The camera may capture images on photographic film. The traffic violation image may be stored in digital format. The traffic violation image may be digitally signed. The traffic violation image may be digitally encrypted. The verification data may include first calibration data for verifying the calibration history of the sensor and/or second calibration data for verifying the calibration history of the camera. The system may include a storage means for storing the first and/or second calibration data. Accordingly, the processor may obtain the calibration data from the storage means. The first and/or second calibration data stored in the storage means may be periodically updated by an engineer. The first and/or second calibration data may include any set of operations, performed in accordance with a definite, documented procedure that compares the measurements performed by an instrument to those made by a more accurate instrument or standard, for the purpose of detecting and reporting, or eliminating by adjustment, errors in the instrument tested. The first and/or second calibration data may include validation by means of a digital signature.
The processor may obtain verification data by obtaining operational parameters of the sensor and/or camera used to capture the traffic violation image. The operational parameters may include ambient conditions of the sensor and/or camera used to capture the traffic violation image, such as temperature, humidity, light intensity, and/or similar environmental conditions. The operational parameters may include operating levels of components comprising the sensor and/or camera used to capture the traffic violation image, e.g. voltage levels, current levels, and/or the like. The operational parameters may include the geographic location where the image is captured. The geographic location may be specified by an engineer installing the sensor and/or camera used to capture the traffic violation image. The geographic location may be supplied by a Global Positioning System (GPS). The operational parameters may include a unique identifying number of an engineer who installed the sensor and/or camera used to capture the traffic violation image. The operational parameters may include identification numbers of components comprising the sensor and/or camera used to capture the traffic violation image.
The operational parameters may include a preprogrammed speed limit which, when exceeded by a vehicle sensed by the sensor, triggers the camera which captures the traffic violation image. The operational parameters may include a grace time period before the camera is triggered by the sensor. The processor may obtain the operational parameters as real-time values, typically obtained at the same time that the image is captured. Accordingly, the operational parameters typically include the time and date when the violation image is captured.
The processor may obtain the verification data at the same time that the camera captures the traffic violation image.
The processor may combine the verification data with the traffic violation image by imposing the verification data onto the traffic violation image. The processor may combine the verification data with the image by digitally signing and encrypting the verification data together with the violation image. The processor may combine the verification data with the traffic violation image by facilitating the printing of the verification data onto the traffic violation image. Accordingly, the system may include a printing means for printing the violation image and the verification data onto a suitable surface.
The processor may store the verified violation image on the storage means. The processor may transmit the verified violation image to a remote location.
BRIEF DESCRIPTION OF THE DRAWINGS
The invention is now described, by way of non-limiting example, with reference to the accompanying drawings wherein Figure 1 shows a schematic diagram of a method of verifying a traffic violation image, in accordance with the invention; and Figure 2 shows a schematic representation of a system for verifying a traffic violation image, in accordance with the invention.
DETAILED DESCRIPTION OF THE INVENTION
With reference to the accompanying drawings, a method of verifying a traffic violation image, in accordance with the invention, is generally indicated by reference numeral 10, and a system for verifying a traffic violation image, in accordance with the invention, is generally indicated by reference numeral 30.
The method 10 of verifying a traffic violation image includes the steps of automatically sensing 12 whether or not a vehicle commits a traffic violation, automatically capturing 14 an image which shows a vehicle committing a traffic violation if it is sensed 12 that the vehicle has committed a traffic violation, obtaining 16 verification data which verifies that the step of sensing 12 is accurate within acceptable limits; and automatically combining 18 the obtained verification data with the captured traffic violation image to provide proof of the accurate sensing of the traffic violation.
The step of sensing 12 typically comprises measuring the speed of a vehicle traveling along a road, but may also include sensing 12 whether a vehicle disobeys a traffic indicator, e.g. a red light, or the like. The step of sensing 12 is performed by sensor 28 which automatically senses 12 whether or not a vehicle commits a traffic violation. The sensor 28 includes any sensor configured to sense 12 whether or not a vehicle commits a traffic violation, and includes radar detection, laser detection, a mechanical switch, a hydraulic switch, a pneumatic switch, an electromechanical switch, or the like. In this embodiment of the invention, the sensor 28 is presented in the form of a piezo-electric sensor 28.
The step of capturing 14 the traffic violation image is achieved by capturing 14 the image in digital format. It is to be appreciated that, in other embodiments, the image may be photographically captured on film. The captured traffic violation image is typically digitally signed and encrypted. In this embodiment of the invention, a digital camera 40 captures the image in electronic format. It is to be appreciated that the camera only captures the image when the camera 40 is triggered by the sensor 28.
The step of obtaining 16 the verification data includes obtaining 16 calibration data 20 and operational parameters 22 of the sensor 28 and camera 40. It is to be appreciated that the calibration data 20 verifies the calibration history of the sensor 28 and the camera 40. Accordingly, in this specification, first calibration data refers to the calibration data used to verify the calibration history of the sensor 28, and second calibration data refers to calibration data used to verify the calibration history of the camera 40. In general, calibration data refers to the first and/or second calibration data. The calibration data may be retrieved from a storage means 34. The calibration data 20 stored in the storage means 34 is generally periodically updated by an engineer who calibrates the sensor 28 and camera 40. The calibration data 20 is typically validated by means of a digital signature. The calibration data may include any set of operations, performed in accordance with a definite, documented procedure that compares the measurements performed by an instrument to those made by a more accurate instrument or standard, for the purpose of detecting and reporting, or eliminating by adjustment, errors in the instrument tested.
In this embodiment of the invention, the operational parameters 22 typically include ambient conditions of the sensor 28 and camera 40 used to capture the traffic violation image, such as temperature, humidity, light intensity, and/or similar environmental conditions. The operational parameters 22 further include operating levels of the individual components comprising the sensor 28 and camera 40 used to capture the traffic violation image, e.g. voltage levels, current levels, and the like. The operational parameters 22 also include the geographic location where the image is captured. In this embodiment of the invention, the geographic location is programmed by an engineer installing the sensor 28 and camera 40. In other embodiments, the geographic location may be supplied by a Global Positioning System (GPS). The operational parameters further include a unique identifying number of the engineer who installed the sensor 28 and the camera 40. The operational parameters also include identification numbers of the individual components comprising the sensor 28 and the camera 40.
The operational parameters 22 generally also include a preprogrammed speed limit which, when exceeded by a vehicle sensed by the sensor 28, triggers the camera 40 to capture an image. The operational parameters 22 include a grace time period before the camera 40 is triggered by the sensor 28, e.g. the grace time period afforded a motorist after an intersection light has changed before a traffic camera will record if the motorist fails to stop at the intersection. In this embodiment, the operational parameters 22 represent real-time values, typically obtained at the same time that the image is captured.
In this embodiment of the invention, the processor 38 obtains 16 the operational parameters 22 through monitoring apparatus 36 arranged in communication with the processor 38, the storage means 34, the camera 40, and the sensor 40. It is to be appreciated that the monitoring apparatus facilitates the processor 38 obtaining 16 the operational parameters 22. In this embodiment, the step of combining 18 the verification data with the traffic violation image is achieved by digitally imposing the verification data onto the traffic violation image. In other embodiments, the step of combining 18 the verification data may include digitally signing and encrypting the verification data together with a digital violation image, or the step of combining 18 may include printing the verification data onto the traffic violation image. The processor 38 digitally imposes the verification data onto the traffic violation image.
The processor 38 then stores the verified image on the storage means 34. In this embodiment, the method 10 includes the step of transmitting 26 the verified image to a remote location. Accordingly, the system 30 includes a transmitter 42 for transmitting 26 the verified image to a remote location.
For example, in one embodiment of the invention, if a traffic violation is committed, the sensor 28 triggers the camera 40 to capture an image of the violation which image typically shows a vehicle for identification purposes. The processor 38 then superimposes the digitally signed calibration data and the operational parameters 22 of the sensor 28 and camera 40 onto the image. This combining 18 of the verification data with the image accordingly provides a validated violation image which includes the time and date of the violation, the ambient conditions under which the violation took place, identifying numbers of the components used to capture the violation, location of the violation, digitally signed calibration data of the sensor 28 and camera 40 used to capture the violation, operating levels of the components used to capture the violation, details of the transgression, and an image of a transgressor. This is particularly useful for establishing irrefutable evidence against the transgressor in a court of law.
It is to be appreciated that, in this embodiment of the invention, the system 30 is integrated into the housing 32 of a traffic camera 40.
It shall be understood that the example is provided for illustrating the invention further and to assist a person skilled in the art with understanding the invention and is not meant to be construed as unduly limiting the reasonable scope of the invention.
The Inventor regards it as an advantage that the invention enables the establishment of traceability of calibration for equipment used in capturing traffic violations, thereby providing more concrete proof that a traffic transgression has taken place. The combining of the verification data into a traffic violation image makes the refuting of the violation by a transgressor much more difficult in a court of law.

Claims

1. A method of verifying a traffic violation image which method includes the following steps automatically sensing whether or not a vehicle commits a traffic violation; automatically capturing an image which shows the vehicle committing a traffic violation if it is sensed that the vehicle has committed a traffic violation; obtaining verification data which verifies that the step of sensing is accurate within acceptable limits; and automatically combining the obtained verification data with the captured traffic violation image to provide proof of the accurate sensing of the traffic violation.
2. A method as claimed in claim 1, wherein the step of sensing includes measuring the speed of a vehicle traveling along a road.
3. A method as claimed in either one of claims 1 or 2, wherein the step of sensing includes sensing whether a vehicle disobeys a traffic indicator.
4. A method as claimed in any one of claims 1 to 3, wherein the step of capturing the traffic violation image includes photographically capturing the image on film.
5. A method as claimed in any one of claims 1 to 3, wherein the step of capturing the traffic violation image includes capturing the image in digital format.
6. A method as claimed in claim 5, wherein the captured traffic violation image is digitally encrypted.
7. A method as claimed in either one of claims 5 or 6, wherein the captured traffic violation image is digitally signed.
8. A method as claimed in any one of claims 1 to 7, wherein the step of obtaining the verification data includes obtaining first calibration data which verifies the calibration history of equipment used to sense the traffic violation.
9. A method as claimed in any one of claims 1 to 8, wherein the step of obtaining the verification data includes obtaining second calibration data which verifies the calibration history of equipment used to capture the traffic violation image.
10. A method as claimed in either one of claims 8 or 9, wherein the calibration data is obtained from an engineer.
11. A method as claimed in any one of claims 8 to 10, wherein the calibration data is retrieved from an electronic storage means.
12. A method as claimed in claim 11, wherein the calibration data stored in the storage means is periodically updated by an engineer.
13. A method as claimed in either one of claims 8 or 9, wherein the calibration data is automatically generated by suitably configured calibration equipment.
14. A method as claimed in any one of claims 8 to 13, wherein the calibration data includes any set of operations performed in accordance with a definite, documented procedure that compares the measurements performed by an instrument to those made by a more accurate instrument or standard for the purpose of detecting, reporting, and eliminating by adjustment any errors in the instrument tested.
15. A method as claimed in any one of claims 8 to 14, wherein the calibration data includes validation by means of a digital signature.
16. A method as claimed in any one of claims 1 to 15, wherein the step of obtaining the verification data includes obtaining operational parameters of the equipment used to sense the violation.
17. A method as claimed in any one of claims 1 to 16, wherein the step of obtaining the verification data includes obtaining operational parameters of the equipment used to capture the traffic violation image.
18. A method as claimed in claim 17, wherein the operational parameters include ambient conditions of the equipment used to sense the violation.
19. A method as claimed in either one of claims 17 or 18, wherein the operational parameters include ambient conditions of the equipment used to capture the traffic violation image.
20. A method as claimed in any one of claims 17 to 19, wherein the operational parameters include operating levels of components comprising the equipment used to sense the violation.
21. A method as claimed in any one of claims 17 to 20, wherein the operational parameters include operating levels of components comprising the equipment used to capture the traffic violation image.
22. A method as claimed in any one of claims 17 to 21, wherein the operational parameters include the geographic location where the image is captured.
23. A method as claimed in claim 22, wherein the geographic location is specified by an engineer installing the equipment used to sense or capture the traffic violation image.
24. A method as claimed in claim 22, wherein the geographic location is supplied by a Global Positioning System (GPS).
25. A method as claimed in any one of claims 17 to 24, wherein the operational parameters include a unique identifying number of an engineer who installed the equipment used to sense or capture the traffic violation image.
26. A method as claimed in any one of claims 17 to 25, wherein the operational parameters include identification numbers of components comprising the equipment used to sense or capture the traffic violation image.
27. A method as claimed in any one of claims 17 to 26, wherein the operational parameters include a preprogrammed speed limit which, when exceeded by a vehicle sensed by the equipment used to sense the violation, triggers the step of capturing the traffic violation image.
28. A method as claimed in any one of claims 17 to 27, wherein the operational parameters include a grace time period before the step of capturing is triggered by the step of sensing.
29. A method as claimed in any one of claims 17 to 28, wherein the operational parameters represent real-time values obtained at the same time that the image is captured.
30. A method as claimed in any one of claims 1 to 29, wherein the step of obtaining the verification data and the step of capturing the traffic violation image is performed simultaneously.
31. A method as claimed in any one of claims 1 to 30, wherein the step of combining the verification data with the traffic violation image includes imposing the verification data onto the traffic violation image.
32. A method as claimed in any one of claims 1 to 31, wherein the step of combining the verification data includes digitally signing and encrypting the verification data together with a digital violation image.
33. A method as claimed in any one of claims 1 to 32, wherein the step of combining the verification data with the traffic violation image includes printing the verification data onto the traffic violation image.
34. A method as claimed in any one of claims 1 to 33, which includes the step of storing the verified image on a suitably configured storage means.
35. A method as claimed in any one of claims 1 to 34, which includes the step of transmitting the verified image to a remote location.
36. A system for verifying a traffic violation image which system includes: a sensor for automatically sensing whether or not a vehicle commits a traffic violation; a camera arranged in communication with the sensor which camera is configured to automatically capture an image of a vehicle committing a traffic violation if it is sensed that the vehicle has committed a traffic violation; and a processor arranged in communication with the camera which processor is configured to obtain verification data which verifies that the sensor senses accurately within acceptable limits, and to combine the obtained verification data with the captured traffic violation image to provide proof of the accurate sensing of the traffic violation.
37. A system as claimed in claim 36, wherein the camera includes a digital camera.
38. A system as claimed in claim 36, wherein the camera captures images on photographic film.
39. A system as claimed in either one of claims 36 or 37, wherein the traffic violation image is stored in digital format.
40. A system as claimed in claim 39, wherein the traffic violation image is digitally signed.
41. A system as claimed in either one of claims 39 or 40, wherein the traffic violation image is digitally encrypted.
42. A system as claimed in any one of claims 36 to 41 , wherein the verification data includes first calibration data for verifying the calibration history of the sensor.
43. A system as claimed in any one of claims 36 to 42, wherein the verification data includes second calibration data for verifying the calibration history of the camera.
44. A system as claimed in either one of claims 42 or 43, which includes storage means for storing the calibration data.
45. A system as claimed in claim 44, wherein the processor obtains the calibration data from the storage means.
46. A system as claimed in either one of claims 44 or 45, wherein the calibration data stored in the storage means is periodically updated by an engineer.
47. A system as claimed in any one of claims 42 to 46, wherein the calibration data includes any set of operations performed in accordance with a definite, documented procedure that compares the measurements performed by an instrument to those made by a more accurate instrument or standard for the purpose of detecting and eliminating by adjustment, errors in the instrument tested.
48. A system as claimed any one of claims 42 to 47, wherein the calibration data includes validation by means of a digital signature.
49. A system as claimed in any one of claims 36 to 48, wherein the processor obtains verification data by obtaining operational parameters of the system.
50. A system as claimed in either one of claims 49 or 50, wherein the operational parameters include ambient conditions of the system.
51. A system as claimed in either one of claims 49 or 50, wherein the operational parameters include operating levels of components comprising the system.
52. A system as claimed in any one of claims 49 to 51, wherein the operational parameters include a geographic location where the image is captured.
53. A system as claimed in claim 52, wherein the geographic location is specified by an engineer installing the system at the location.
54. A system as claimed in claim 52, wherein the geographic location is supplied by a Global Positioning System (GPS).
55. A system as claimed in any one of claims 49 to 54, wherein the operational parameters include a unique identifying number of an engineer who installed the system.
56. A system as claimed in any one of claims 49 to 55, wherein the operational parameters include identification numbers of components comprising the system.
57. A system as claimed in any one of claims 49 to 56, wherein the operational parameters include a preprogrammed speed limit which, when exceeded by a vehicle sensed by the sensor, triggers the camera which captures the traffic violation image.
58. A system as claimed in any one of claims 49 to 57, wherein the operational parameters include a grace time period before the camera is triggered by the sensor.
59. A system as claimed in any one of claims 49 to 58, wherein the processor obtains the operational parameters as real-time values.
60. A system as claimed in any one of claims 36 to 59, wherein the processor obtains the verification data at the same time that the camera captures the traffic violation image.
61. A system as claimed in any one of claims 36 to 60, wherein the processor combines the verification data with the traffic violation image by imposing the verification data onto the traffic violation image.
62. A system as claimed in any one of claims 36 to 61 , wherein the processor combines the verification data with the image by digitally signing and encrypting the verification data together with the violation image.
63. A system as claimed in any one of claims 36 to 61, wherein the processor combines the verification data with the traffic violation image by facilitating the printing of the verification data onto the traffic violation image.
64. A system as claimed in claims 63, which includes a printing means for printing the violation image and the verification data onto a suitable surface.
65. A system as claimed in any one of claims 44 to 62, wherein the processor stores the verified violation image on the storage means.
66. A system as claimed in any one of claims 36 to 65, wherein the processor facilitates the transmission of the verified violation image to a remote location.
67. A method for verifying a traffic violation image or a system for verifying a traffic violation image, according to the invention, substantially as herein described and illustrated.
68. A new method for verifying a traffic violation image or a new system for verifying a traffic violation image substantially as herein described.
PCT/ZA2005/000042 2004-02-18 2005-02-18 Method and system for verifying a traffic violation image WO2005091243A1 (en)

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EP05752457A EP1719091B1 (en) 2004-02-18 2005-02-18 Method and system for verifying a traffic violation image
US10/598,121 US7528741B2 (en) 2004-02-18 2005-02-18 Method and system for verifying a traffic violation image
AU2005223286A AU2005223286B2 (en) 2004-02-18 2005-02-18 Method and system for verifying a traffic violation image
DE602005003108T DE602005003108T2 (en) 2004-02-18 2005-02-18 METHOD AND SYSTEM FOR VERIFYING A TRAFFIC IMPACT PICTURE

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ZA200606007B (en) 2007-11-28
EP1719091B1 (en) 2007-10-31
AU2005223286A1 (en) 2005-09-29
ES2294718T3 (en) 2008-04-01
DE602005003108T2 (en) 2008-08-14
DE602005003108D1 (en) 2007-12-13
US20070247334A1 (en) 2007-10-25

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