1. An inkjet recording method comprising the step of:
forming a color image with color inks on the recording medium by while scanning a recording head multiple times on a same recording area of the recording medium, forming a thinned-out image according to an thinning-out pattern without regularity in each scanning, the recording head having a plurality of nozzle sections for jetting the color inks,
wherein a nozzle pitch of the recording head is from 10 to 50 \u03bcm,
the color inks comprise cyan, magenta, yellow and black inks and at least one special color ink,
the color inks contain pigments, at least one organic solvent with high boiling point and water,
a dot formed by jetting the color inks from the recording head has a size of 10 to 50 \u03bcm on the recording medium,
the recording medium has a transferred amount at 0.04 seconds of absorption time by Bristow method of 10 mlm2 or more, and
the recording medium comprises a micro-porous layer containing inorganic fine particles having a mean particle size of 15 to 100 nm and a hydrophilic binder.
2. The method of claim 1, wherein the special color ink is at least one ink selected from a group consisting of a red ink, an orange ink, an blue ink, a violet ink and a green ink.
3. The method of claim 1, wherein a printing acceptable rate of the thinning-out pattern is from 15 to 35%.
4. The method of claim 1, wherein a surface tension of the color inks is from 30 to 50 mNm.
5. The method of claim 1, wherein the pigments of the color inks are dispersed by a polymeric dispersant.
6. The method of claim 1, wherein the recording medium comprises an absorbable support, on which the micro-porous layer is provided.
7. The method of claim 1, wherein the hydrophilic binder is polyvinyl alcohol or a derivative thereof.
8. The method of claim 1, wherein the hydrophilic binder is hardened.
9. The method of claim 1, wherein a void rate of the micro-porous layer is from 30 to 70%.
10. The method of claim 1, wherein the inorganic fine particles contain silica or alumina.
11. The method of claim 1, wherein the inorganic fine particle has the mean particle size of 20 to 80 nm.
12. The method of claim 1, wherein the color inks contain urea or a urea derivative.
13. An inkjet recording apparatus for forming a color image by jetting color inks on a recording medium, comprising:
a recording head having a plurality of nozzle sections to jet the color inks, the nozzle sections being arrayed at a pitch of 10 to 50 \u03bcm;
a scanning section to make the recording head scan multiple times on one recording area of the recording medium; and
a control section to allow the recording head to jet the color inks from the plurality of nozzle sections so that a thinned-out image according to a thinning-out pattern without regularity in each scanning is formed on the recording medium,
wherein the color inks comprise cyan, magenta, yellow and black inks and at least one special color ink,
the color inks contains pigments, at least one organic solvent with high boiling point and water,
a dot formed by jetting the color inks from the recording head has a size of 10 to 50 \u03bcm on the recording medium,
the recording medium has a transferred amount at 0.04 seconds of absorption time by Bristow method is 10 mlM2 or more, and
the recording medium has a micro-porous layer containing inorganic fine particles having a mean particle size of 15 to 100 nm and a hydrophilic binder.
14. The apparatus of claim 13, wherein the special color ink is at least one ink selected from a group consisting of a red ink, an orange ink, an blue ink, a violet ink and a green ink.
15. The apparatus of claim 13, wherein a printing acceptable rate of the thinning-out pattern is from 15 to 35%.
16. The apparatus of claim 13, wherein a surface tension of the color inks is from 30 to 50 mNm.
17. The apparatus of claim 13, wherein the pigments of the color inks are dispersed by a polymeric dispersant.
18. The apparatus of claim 13, wherein the recording medium comprises an absorbable support, on which the micro-porous layer is provided.
19. The apparatus of claim 13, wherein the hydrophilic binder is polyvinyl alcohol or a derivative thereof.
20. The apparatus of claim 13, wherein the hydrophilic binder is hardened.
21. The apparatus of claim 13, wherein a void rate of the micro-porous layer is from 30 to 70%.
22. The apparatus of claim 13, wherein the inorganic fine particles contain silica or alumina.
23. The apparatus of claim 13, wherein the inorganic fine particle has the mean particle size of 20 to 80 nm.
24. The apparatus of claim 13, wherein the color inks contain urea or a urea derivative.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A method for verifying the speed of a vehicle having at least a front axle and a rear axle using sensors, the sensors being separated by a distance, the method including the following steps:
(a) sensing a presence of the vehicle;
(b) recording an image of the vehicle to enable the vehicle to be identified;
(c) triggering the sensors to each emit a signal;
(d) receiving the signals emitted by the sensors;
(e) determining the speed of the vehicle;
(f) determining a wheel base measurement for the vehicle;
(g) identifying the vehicle from the recorded image of the vehicle;
(h) comparing the determined wheel base measurement to a validated wheel base measurement of the vehicle being sensed; and
(i) identifying a discrepancy between the determined wheel base measurement and the validated wheel base measurement of the vehicle being sensed as potential errors in the speed of the vehicle determined by step (e).
2. A method according to claim 1, wherein the speed of the vehicle is determined by a method including the following steps:
measuring a first time interval between the front axle triggering a signal in a first sensor and the front axle triggering a signal in a second sensor;
measuring a second time interval between the rear axle triggering a signal in the first sensor and the rear axle triggering a signal in the second sensor;
computing the speed of the front axle relative to the distance separating the first and second sensors and the first time interval; and
computing the speed of the rear axle relative to the distance separating the first and second sensors and the second time interval.
3. A method according to claim 2, further comprising two independent wheel base measurements determined by a method including the following steps:
measuring a third time interval between the front axle triggering a signal in the second sensor and the rear axle triggering a signal in the first sensor;
computing a first wheel base measurement for the vehicle relative to the first and third time intervals and the distance; and
computing a second wheel base measurement for the vehicle relative to the second and third time intervals and the distance.
4. A method according to claim 1, further including the step of counting the signals triggered by a first sensor and a second sensor by each vehicle, wherein the number of signals triggered in each sensor is used to determine a number of axles associated with the vehicle and the number of the axles determined is compared to an actual number of axles in the vehicle being sensed such that any discrepancy between them is indicative of potential errors in the speed of the vehicle determined by the method.
5. A method according to claim 1, further including the step of periodically calibrating the system by injecting into the system signals simulating sensor signals for a known vehicle speed and comparing the determined vehicle speed with the known vehicle speed.
6. A method for verifying the speed of a vehicle having at least a front axle and a rear axle using sensors, the sensors being separated by a distance, the method including the following steps:
(a) sensing a presence of the vehicle;
(b) recording an image of the vehicle to enable the vehicle to be classified according to type;
(c) triggering the sensors to emit a signal;
(d) receiving the signals emitted by the sensors;
(e) determining the speed of the vehicle;
(f) determining a wheel base measurement for the vehicle;
(g) identifying a vehicle from the recorded image of the vehicle;
(h) comparing the determined wheel base measurement to a validated wheel base measurement of the vehicle being sensed;
(i) identifying a discrepancy between the determined wheel base measurement and the validated wheel base measurement of the vehicle being sensed as potential errors in the speed of the vehicle determined in step (e); and
(j) providing a database containing data relating to various vehicle types associated with vehicle specifications including a validated wheel base measurement for each vehicle type;
wherein the wheel base measurement determined by the method is compared to the validated wheel base measurement stored in the database.
7. A method according to claim 6, wherein the speed of the vehicle is determined by a method including the following steps:
measuring a first time interval between the front axle triggering a signal in a first sensor and the front axle triggering a signal in a second sensor;
measuring a second time interval between the rear axle triggering a signal in the first sensor and the rear axle triggering a signal in the second sensor;
computing the speed of the front axle relative to the distance separating the first and second sensors and the first time interval; and
computing the speed of the rear axle relative to the distance separating the first and second sensors and the second time interval.
8. A method according to claim 7, further comprising two independent wheel base measurements determined by a method including the following steps:
measuring a third time interval between the front axle triggering a signal in the second sensor and the rear axle triggering a signal in the first sensor;
computing a first wheel base measurement for the vehicle relative to the first and third time intervals and the distance; and
computing a second wheel base measurement for the vehicle relative to the second and third time intervals and the distance.
9. A method according to claim 6, further including the step of counting the signals triggered by the first and second sensors by each vehicle, wherein the number of signals triggered in each sensor is used to determine a number of axles associated with the vehicle and the number of the axles determined is compared to a validated number of axles stored in the database for the detected vehicle type such that any discrepancy between them is indicative of potential errors in the speed of the vehicle determined by the method.
10. A method according to claim 6, further including the step of periodically calibrating the system by injecting into the system signals simulating sensor signals for a known vehicle speed and comparing the determined vehicle speed with the known vehicle speed.
11. A system for verifying the speed of a vehicle having at least a front and rear axle, the system including:
(a) a camera for recording an image of the vehicle to enable the vehicle to be identified;
(b) at least two sensors separated by a distance which are triggered to emit a signal by the front and rear axles;
(c) means for receiving the signals emitted by the sensors;
(d) means for using the signals to determine the speed of the vehicle; and
(e) means for using the signals to determine a wheel base measurement for the vehicle;
(f) means for identifying a vehicle from the recorded image of the vehicle;
(g) means for comparing the wheel base measurement determined by the system to a validated wheel base measurement of the vehicle being sensed: and
(h) means for identifying any discrepancy between the determined wheel base measurement and the validated wheel base measurement of the vehicle being sensed as an indication of potential errors in the speed of the vehicle determined by the system.
12. A system according to claim 11, wherein the means for determining the speed of the vehicle includes:
means for determining a first time interval between the front axle triggering a signal in a first sensor and the front axle triggering a signal in a second sensor;
means for determining a second time interval between the rear axle triggering a signal in the first sensor and the rear axle triggering a signal in the second sensor;
means for computing the speed of the front axle relative to the distance separating the first and second sensors and the first time interval; and
means for computing the speed of the rear axle relative to the distance separating the first and second sensors and the second time interval.
13. A system according to claim 11, further comprising two independent wheel base measurements determined for each vehicle.
14. A system according to claim 11, wherein the means for determining the wheel base measurements for the vehicle includes:
means for determining a third time interval between the front axle triggering a signal in the second sensor and the rear axle triggering a signal in the first sensor; and
means for computing a first wheel base measurement for the vehicle relative to the first and third time intervals and the distance; and
means for computing a second wheel base measurement for the vehicle relative to the second and third time intervals and the distance.
15. A system according to claim 11, further including means for counting the signals triggered by the first and second sensors by each vehicle, wherein the number of signals triggered in each sensor is used to determine a number of axles associated with the vehicle and the number of axles determined is compared to an actual number of axles in the vehicle being sensed such that any discrepancy between them is indicative of potential errors in the speed of the vehicle determined by the system.
16. A system according to claim 11, further including means for injecting into the system signals simulating sensor signals for a known vehicle speed and comparing the determined vehicle speed with the known vehicle speed to calibrate the system.
17. A system for verifying the speed of a vehicle having at least a front and rear axle, the system including:
(a) a camera for recording an image of the vehicle to enable the vehicle to be classified according to type;
(b) at least two sensors separated by a distance which are triggered to emit a signal by the front and rear axles;
(c) means for receiving the signals emitted by the sensors;
(d) means for using the signals to determine the speed of the vehicle;
(e) means for using the signals to determine a wheel base measurement for the vehicle; and
(f) means for identifying a vehicle from the recorded image of the vehicle;
(g) means for comparing the wheel base measurement determined by the system to a validated wheel base measurement of the vehicle being sensed;
(h) means for identifying a discrepancy between the determined wheel base measurement and the validated wheel base measurement of the vehicle being sensed as potential errors in the speed of the vehicle determined in step (f); and
(i) a database containing data relating to various vehicle types associated with vehicle specifications including a validated wheel base measurement for each vehicle type;
wherein the wheel base measurement determined by the system is compared to the validated wheel base measurement stored in the database.
18. A system according to claim 17, wherein the means for determining the speed of the vehicle includes:
means for determining a first time interval between the front axle triggering a signal in a first sensor and the front axle triggering a signal in a second sensor;
means for determining a second time interval between the rear axle triggering a signal in the first sensor and the rear axle triggering a signal in the second sensor;
means for computing the speed of the front axle relative to the distance separating the first and second sensors and the first time interval; and
means for computing the speed of the rear axle relative to the distance separating the first and second sensors and the second time interval.
19. A system according to claim 17, further comprising two independent wheel base measurements determined for each vehicle.
20. A system according to claim 17, wherein the means for determining a wheel base measurement for the vehicle includes:
means for determining a third time interval between the front axle triggering a signal in the second sensor and the rear axle triggering a signal in the first sensor;
means for computing a first wheel base measurement for the vehicle relative to the first and third time intervals and the distance; and
means for computing a second wheel base measurement for the vehicle relative to the second and third time intervals and the distance.
21. A system according to claim 17, further including means for counting the signals triggered by a first sensor and a second sensor by each vehicle wherein the number of signals triggered in each sensor is used to determine a number of axles associated with the vehicle and the number of axles determined is compared to a validated number of axles stored in the database for the detected vehicle type such that any discrepancy between them is indicative of potential errors in the speed of the vehicle determined by the system.
22. A system according to claim 17, further including means for injecting into the system signals simulating sensor signals for a known vehicle speed and comparing the determined vehicle speed with the known vehicle speed to calibrate the system.
23. A system for verifying the speed of a vehicle having at least a front and rear axle, the system including:
(a) a camera for recording an image of the vehicle to enable the vehicle to be classified according to type;
(b) at least two sensors separated by a distance which are triggered to emit a signal by the front and rear axles;
(c) means for receiving the signals emitted by the sensors;
(d) means for using the signals to determine the speed of the vehicle;
(e) means for using the signals to determine the number of axles for the vehicle; and
(f) means for identifying a vehicle from the recorded image of the vehicle;
(g) means for comparing the wheel base measurement determined by the system to a validated wheel base measurement of the vehicle being sensed;
(h) means for identifying a discrepancy between the determined wheel base measurement and the validated wheel base measurement of the vehicle being sensed as potential errors in the speed of the vehicle determined in step (f); and
(i) a database containing data relating to various vehicle types associated with vehicle specifications including a validated number of axles for each vehicle type;
wherein the axle count determined by the system is compared to the validated axle count stored in the database and any discrepancy between them is indicative of potential errors in the speed of the vehicle determined by the system.
24. A system according to claim 17 wherein the database includes an expert system whereby axle counts andor wheelbase measurements for vehicle types are learned from measurements made by the system and then added to the database.
25. A method of calibrating a vehicle speed determination system using at least two sensors separated by a distance, the vehicle having at least a front and a rear axle, the method including the steps of:
(a) sensing a presence of the vehicle;
(b) recording an image of the vehicle to enable the vehicle to be classified according to type;
(c) triggering the sensors to emit a signal;
(d) receiving the signals emitted by the sensors;
(e) determining the speed of the vehicle;
(f) determining a wheel base measurement for the vehicle;
(g) providing a database containing data relating to various vehicle types associated with vehicle specifications including a validated wheel base measurement for each vehicle type;
(h) comparing the wheel base measurement determined by the system to the validated wheel base measurement; and
(i) identifying a discrepancy between the determined wheel base measurement and the validated wheel base measurement of the vehicle being sensed as potential error trends and enable system calibration; and
(j) maintaining a register of speed and wheel base measurement data and discrepancies from validated wheel base measurement data.