Combines multiple camera angles into a seamless 3D digital map for precise sub-meter navigation.
One sensor monitors six stalls and the lane, enabling smooth autonomous valet parking while cutting hardware costs.
Reserve in advance via mini-program, with automated stall assignment and smart locks for ultimate convenience.
Builds a real-time 3D model of underground garages, guiding drivers and AVP systems effortlessly.
Detects hazards and pushes optimized evacuation routes to users’ devices, improving underground safety.
Covers multiple stalls with a single node, cutting deployment costs by over 50% without sacrificing precision.
This 1:6 sensor-to-stall ratio triples sensing efficiency compared to traditional one-sensor-per-stall setups, reducing hardware costs by over 50% per stall.
Enables local video fusion and real-time hazard detection with latency under 150ms, ensuring smooth AVP navigation and rapid emergency response.
Supports continuous sub-meter Digital Twin tracking, eliminating blind spots and enabling precise booking-to-parking guidance.
A: No. Parker is designed as a middleware layer and can integrate with existing gates, billing systems, and hardware with minimal disruption.
A: A pilot deployment can be completed within days, with lane-centric installation that avoids large-scale rewiring or garage shutdowns.
A: It turns underground garages into live digital assets—enabling reservations, AVP readiness, operational insights, and real-time safety response.
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