The APS-R, including the Power over Ethernet model APS-R-POE, is designed for accurate counting in a wide range of public passenger vehicles, including trains, trams and subways.
Xovis' APS-R enhances usability, maximizes emerging remote connectivity options, and automates a number of procedures that previously required manual intervention, resulting in installation, commissioning, and operational costs lower than those associated with traditional Automatic Passenger Counting (APC) units.
Power over Ethernet (PoE) limits costly cabling work and network interference by combining data and power supply in a single wire. Reduced cabling costs contribute to the low Total Cost of Ownership (TCO) that has made the APS-R-POE, the APS-R model with POE, one of the most preferred in the public transportation industry.
APS-R automatically detects installation height and angle, provides automatic software and configuration updatesand can be adapted for use with stairs and ramps. Interoperability specifications ITxPT and VDV-301 (IBIS-IP), RESTful APIs and many other IT protocols are standard on all APS sensors, ensuring seamless integration and easy connection into any IT infrastructure.
Object Detection, a feature on the APS-R-series sensors, provides operators with accurate counts about the number of objects, such as wheelchairs and bicycles, onboard their public transportation vehicles.
Realize advanced use cases by monitoring the occupancy level of certain areas. The APS-R automatically detects if a designated area is occupied., regardless of whether the space is filled by luggage, bicycles or passengers. Object Detection features can be combined to determine if it is a bicycle or wheelchair in the designated space.
Sensors can fulfill the accuracy requirements defined by the Verband Deutscher Verkehrsunternehmen (VDV), ensuring highest passenger counting accuracy up to 99%.
Save time and money with validating accuracy with digital validation of passenger counts. Comparison counting triggered via door signal and validation reports count events and metadata.