Computer Vision
Robust perception for detection, tracking, segmentation, and scene understanding.
Scryvera designs and ships perception, autonomy, and intelligence software for teams moving from prototype to field-ready systems.
CAPABILITIES
From real-world perception to autonomous action and enterprise intelligence, Scryvera builds systems that perform reliably where it matters.
Robust perception for detection, tracking, segmentation, and scene understanding.
Control, planning, and autonomy software for machines operating safely in the physical world.
Perception and autonomy stacks for aerial systems in demanding operating conditions.
Efficient models and runtimes optimized for device constraints and real-time operation.
AI-powered detection, analysis, and alerting for proactive security operations.
Platforms, tools, and integrations that connect AI into operational workflows.
SENTINEL
Sentinel turns ordinary IP cameras into an on-device AI security guard that watches continuously, remembers what it has seen, learns what is normal, and answers plain-English questions with the clip to prove it.
Natural-language Guard Agent responses are grounded in events, timestamps, and cited clips. If the evidence is not there, Sentinel refuses instead of guessing.
Persistent entity memory tracks people, vehicles, pets, packages, and repeat visitors so the property becomes a queryable life-log over weeks and months.
Alerts are scored against camera, zone, time, roster, and behavior patterns, so “person detected” becomes “unknown person lingered at the side gate.”
Video perception is fused with audio anomaly detection for glass-break, gunshot, scream, alarm, siren, and dog-bark signals on the same local engine.
Local playbooks can lock evidence, create incidents, call webhooks, and drive ESP32, Shelly, or Tasmota lights, switches, and sirens from guard logic.
Sentinel works with any RTSP camera, runs on commodity hardware, and keeps AI processing on-device unless an operator explicitly enables a provider.
OUR PROCESS
A disciplined, collaborative process that de-risks development and delivers measurable outcomes.
We align on mission outcomes, constraints, data realities, and success criteria.
We architect the system, data flows, model strategy, and interface surface.
We develop, integrate, and test with production-oriented engineering discipline.
We verify performance, safety, and reliability in realistic operating conditions.
We help deploy, observe, and improve systems after they reach the field.
Have a challenge in perception, autonomy, or intelligence? We partner with teams to turn complex field problems into deployed systems that make a difference.