Eliminating Verification Latency Through Local Determinism.
Traditional verification pipelines rely on massive central servers. They force user devices to stream uncompressed, unencrypted video feeds across public networks, introducing unpredictable latency bottlenecks, packet dropouts, and substantial compliance exposure.
DetectID flips this architecture entirely. We execute binary classification directly at the glass edge inside client runtime memory. Our lightweight, zero-dependency assembly compiles to native WebAssembly and hardware-accelerated shaders, deciding in single-digit milliseconds whether an authentic physical ID is present in the camera stream.
By strictly separating document edge-presence from identity data storage, we deliver an uncompromised, privacy-first verification standard that never harvests personal credentials or degrades user experience.
Zero Cloud Roundtrips
Raw video frames never leave client memory. Binary classification executes directly at the edge to eliminate egress latency and network dropouts.
Deterministic Sub-50ms Execution
Zero probabilistic drift. Every frame is evaluated against strict geometric anchors and document boundaries with microsecond clock precision.
Zero Data Harvesting
Architected with zero backend capture databases. Once the binary presence signal is determined, memory buffers instantly wipe clean.
Evolution of the DetectID Engine
From low-level WebAssembly primitives to our distributed sub-40ms verification runtime, track the engineering milestones powering our binary detection pipeline.
v0.1 Core Kernel
Initial WebAssembly port achieving sub-100ms deterministic bounding box classification on raw browser camera frames without external dependencies.
v1.0 Live Stream SDK
Zero-dependency client-side JavaScript engine detecting 90+ physical card geometries with automated perspective warping and orientation correction.
v2.0 Anti-Spoof Layer
Client-side holographic reflection and moiré pattern detection module analyzing micro-glare transitions across sequential video frames in real time.
v3.0 Enterprise Fleet
Real-time distributed telemetry and sub-40ms execution pipeline with continuous edge health reporting and automated frame-level audit logs.
Ready to integrate the runtime?
Deploy our zero-dependency verification kernel into your authentication pipeline within minutes.