MACHINE LEARNING BASED WIDTH DETECTION FOR TRANSIT SYSTEMS
A width detection system to measure a width of an object at a transit gate of a transit system is disclosed. The width detection system includes a gate paddle to control access through the transit gate, a first gate cabinet and a second gate cabinet of the transit gate separated by an aisle width, a sensor system, and a controller. The sensor system includes a primary sensor positioned at the first gate cabinet of the transit gate. The primary sensor emits a primary signal directed at the second gate cabinet and determines a primary distance of the object to the primary sensor. The controller determines the width of the object based on the primary distance and the aisle width, compares the width against a primary threshold, and actuates the gate paddle.
1 . A width detection system to measure a width of an object at a transit gate of a transit system, the width detection system comprises:
a gate paddle to control access through the transit gate;
a first gate cabinet and a second gate cabinet of the transit gate, separated by an aisle width;
a sensor system comprising a primary sensor positioned at the first gate cabinet of the transit gate, and wherein the primary sensor:
emits a primary signal directed at the second gate cabinet, and
determines a primary distance of the object to the primary sensor based on the primary signal reflected from the object; and
a controller, wherein the controller:
determines the width of the object based on the primary distance and the aisle width,
compares the width against a primary threshold, and
actuates the gate paddle.
2 . The width detection system to measure the width of the object at the transit gate of the transit system of claim 1 , wherein the sensor system further comprises a secondary sensor positioned at the second gate cabinet of the transit gate, and wherein the secondary sensor emits a secondary signal directed at the first gate cabinet and determines one or more of:
a blocked state of the secondary sensor;
a clear state of the secondary sensor; and
a secondary distance of the object to the secondary sensor based on the secondary signal reflected from the object.
3 . The width detection system to measure the width of the object at the transit gate of the transit system of claim 1 , wherein the controller is further operable to:
compare the primary distance against a secondary threshold; and
actuate the gate paddle if the primary distance is below the secondary threshold.
4 . The width detection system to measure the width of the object at the transit gate of the transit system of claim 1 , wherein the controller determines the width of the object as a function of the primary distance, a secondary distance, and the aisle width of the transit gate.
5 . The width detection system to measure the width of the object at the transit gate of the transit system of claim 1 , wherein the controller processes an image corresponding to the object via a machine learning (ML) engine, wherein the ML engine is operable to:
preprocess the image captured via a camera;
extract features from the image; and
locate a plurality of regions of the image to detect the object.
6 . The width detection system to measure the width of the object at the transit gate of the transit system of claim 1 , wherein the gate paddle is actuated based on one or more of:
the primary threshold;
a secondary threshold; and
processing of an image corresponding to the object based on the primary threshold and the secondary threshold.
7 . The width detection system to measure the width of the object at the transit gate of the transit system of claim 1 , wherein the sensor system further comprises the primary sensor and a secondary sensor, and wherein the primary sensor and the secondary sensor function as a cross-aisle sensor pair.
8 . The width detection system to measure the width of the object at the transit gate of the transit system of claim 1 , wherein the transit gate comprises an exit gate of the transit system.
9 . A width detection method for measuring a width of an object at a transit gate of a transit system, the width detection method comprises:
controlling access through the transit gate via a gate paddle;
separating a first gate cabinet and a second gate cabinet of the transit gate with an aisle width;
positioning a primary sensor of a sensor system at the first gate cabinet of the transit gate, wherein the primary sensor:
emits a primary signal directed at the second gate cabinet, and
determines a primary distance of the object to the primary sensor based on the primary signal reflected from the object; and
determining, via a controller, the width of the object based on the primary distance and the aisle width, wherein the controller:
compares the width against a primary threshold, and
actuates the gate paddle.
10 . The width detection method for measuring the width of the object at the transit gate of the transit system of claim 9 , wherein the sensor system further comprises positioning a secondary sensor at the second gate cabinet of the transit gate, wherein the secondary sensor emits a secondary signal directed at the first gate cabinet and determines one or more of:
a blocked state of the secondary sensor;
a clear state of the secondary sensor; and
a secondary distance of the object to the secondary sensor based on the secondary signal reflected from the object.
11 . The width detection method for measuring the width of the object at the transit gate of the transit system of claim 9 , wherein the controller is further operable to:
compare the primary distance against a secondary threshold; and
actuate the gate paddle if the primary distance is below the secondary threshold.
12 . The width detection method for measuring the width of the object at the transit gate of the transit system of claim 9 , further comprises determining, via the controller, the width of the object as a function of the primary distance, a secondary distance, and the aisle width of the transit gate.
13 . The width detection method for measuring the width of the object at the transit gate of the transit system of claim 9 , further comprises processing, via the controller, an image corresponding to the object using a machine learning (ML) engine, wherein the ML engine is operable to:
preprocess the image captured via a camera;
extract features from the image; and
locate a plurality of regions of the image to detect the object.
14 . The width detection method for measuring the width of the object at the transit gate of the transit system of claim 9 , wherein the gate paddle is actuated based on one or more of:
the primary threshold;
a secondary threshold; and
processing of an image corresponding to the object based on the primary threshold and the secondary threshold.
15 . A machine-readable medium having machine-executable instructions embodied thereon that, when executed by one or more processors, facilitate a method for measuring a width of an object at a transit gate of a transit system, the method comprising:
controlling access through the transit gate via a gate paddle;
separating a first gate cabinet and a second gate cabinet of the transit gate with an aisle width;
positioning a primary sensor of a sensor system at the first gate cabinet of the transit gate, wherein the primary sensor:
emits a primary signal directed at the second gate cabinet, and
determines a primary distance of the object to the primary sensor based on the primary signal reflected from the object; and
determining, via a controller, the width of the object based on the primary distance and the aisle width, wherein the controller:
compares the width against a primary threshold, and
actuates the gate paddle.
16 . The machine-readable medium facilitating the method for measuring the width of the object at the transit gate of the transit system of claim 15 , wherein the sensor system further comprises positioning a secondary sensor at the second gate cabinet of the transit gate, wherein the secondary sensor emits a secondary signal directed at the first gate cabinet and determines one or more of:
a blocked state of the secondary sensor;
a clear state of the secondary sensor; and
a secondary distance of the object to the secondary sensor based on the secondary signal reflected from the object.
17 . The machine-readable medium facilitating the method for measuring the width of the object at the transit gate of the transit system of claim 15 , wherein the controller is further operable to:
compare the primary distance against a secondary threshold; and
actuate the gate paddle if the primary distance is below the secondary threshold.
18 . The machine-readable medium facilitating the method for measuring the width of the object at the transit gate of the transit system of claim 15 , further comprises determining, via the controller, the width of the object as a function of the primary distance, a secondary distance, and the aisle width of the transit gate.
19 . The machine-readable medium facilitating the method for measuring the width of the object at the transit gate of the transit system of claim 15 , further comprises processing, via the controller, an image corresponding to the object using a machine learning (ML) engine, wherein the ML engine is operable to:
preprocess the image captured via a camera;
extract features from the image; and
locate a plurality of regions of the image to detect the object.
20 . The machine-readable medium facilitating the method for measuring the width of the object at the transit gate of the transit system of claim 15 , wherein the gate paddle is actuated based on one or more of:
the primary threshold;
a secondary threshold; and
processing of an image corresponding to the object based on the primary threshold and the secondary threshold.