AFC (Automatic Fare Collection) is for Simplifying fare payment through automatic fare gate.
STraffic offers 3D sensor as a complementary technology to infra-red sensor. 3D sensor technology has enhanced the accuracy of detecting fare evasion vectors such as tailgating and piggybacking. Each aisle's 3D sensor will be placed at the center of the overhead bridge to capture “top-down” physical images.

3D sensor with AI Process Solution
STraffic’s 3D sensor performance can be enhanced through the AI (machine learning) process that includes the inference engine update, learning operation, and deployment plan. Through this process, STraffic’s3D sensor with the AI process collects a learning dataset during operation, and then deploys the inference engine regularly after executing offline learning.
STraffic’s 3D sensor with AI process captures an image in the aisle and converts it into digital footprint used to accurately measure passing patterns. All digital footprints of the passing patterns are recorded into the database. STraffic’s solution continuously accumulates various digital footprints through the AI process and reduces the false detection cases (Table 1,2) using the database. All acceptable scenarios such as a person who uses a wheelchair, children, luggage, and service animals are also captures and evaluated by the AI process.
STraffic’s 3D sensor with AI process solution protects personal privacy because Itit uses the digital footprint instead of the real image. For the same reason, STraffic’s 3D sensor with AI process has proven performance in accurate evaluation of movement through FareGateFaregate aisles.

PID: 3702014

Automatic Fare Gate with 3D Sensors

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STraffic is aware of the current fare evasion control challenges facing not only BART, but practically every public transit system worldwide. STraffic’s proposed Fare Gate combines physical design elements of the cabinet with state-of-the art infra-red and 3D “Sensor Fusion” technology to provide the most effective solution to detect and deter fare evasion. Sensor-Fusion technology will capture data deive of movement through aisles (not identifiable images) in a manner consistent with compliance with BART’s Surveillance Technology Ordinance.
This sensor technology will provide BART with real-time, granular data that can inform policies and strategies intended to minimize fare evasion and ensure revenue certainty. The resulting performance of the Fare Gate in detecting and deterring fare evasion will be scientific and agnostic, relying on precise measurement and assessment of movement through aisles.
The combination of physical “hardening” with technical innovations creates a balanced solution—neither so hardened as to appear impassable or unwelcoming, nor so open as to require continuous physical presence to deter or enforce against fare evasion. At the same time, the integration of physical features and technology, and how they perform for riders who pay fares, reflects what STraffic understands about riders’ preferences.

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Quantity: MOQ : 100 Pieces

Product Summary

When paying fare, riders’ goal is to be on their journey as quickly and effortlessly as possible. In fact, STraffic has observed that consistently reliable performance of Fare Gates—high availability, speed of payment processing, and ease of entry complemented by effective wayfinding—plays a major role in restoring and maintaining preferred rider behavior of paying their fares. In STraffic’s experience, the proposed Fare Gate design, which incorporates elements of BART’s Station Experience Design Guidelines, accomplishes this goal. During the Design Review, STraffic will warmly welcome input from BART and other stakeholders to further refine the overall effectiveness of the proposed Fare Gate design and wayfinding features.
The exception detection system is composed of different sensors working in an integrated, “sensor fusion” approach to analyze each situation in the Fare Gate to achieve a highly effective detection rate. It includes sensors at the Fare Gate entrance and exit door modules at maximum height (waist level) and minimum height (floor level), operating in combination with the 3D sensor located in the Overhead Bridge. While providing the most effective tool in fare evasion prevention, the integrated solution between Fare Gate infra-red and 3D sensor also ensures the highest degree of rider safety when using fare gates equipped with swing barriers.

Detailed Description

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Fare Gate Sensors

The Fare Gate has 16 passenger sensors to detect passenger movement through aisles. These sensors can detect 3 types of fare evasion vectors:

Illegal entry detection

If the Fare Gate detects someone in the aisle without paying after a predefined time (i.e., the configurable unauthorized entry time), the Fare Gate sounds an alarm and both indicator lights turn on red. The event of an unauthorized entry is reported to the DAS as well.

Counterflow-enter detection

If the Fare Gate detects entering in the wrong direction when barriers are opened, the Fare Gate sounds an alarm and both indicator lights turn on red. The event of counter-enter is reported to the DAS as well.

Tailgating detection

If the Fare Gate detects tailgating, the Fare Gate sounds an alarm and both indicator lights turn on the red color. The event of tailgating is sent to the DAS as well.

STraffic will provide programming for the Sensor Fusion array that defines the fare evasion vectors that require monitoring and control. When the fare evasion vectors identified through the defined sensor algorithm is detected, the Fare Gate responds locally by preventing entry and sounding alarms. Information about the event is transmitted to the Central System (DAS), and the Central System will provide a report so that the details of the fare evasion can be analyzed and reported.

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