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Vision AI

Enterprise-grade perception for images, video, and edge.

Sub-10ms
Edge options
Multi-cam
Fusion
24/7
Monitoring

Vision AI is Zansoc’s production perception platform — training, evaluation, deployment, and monitoring for detection, tracking, segmentation, and geospatial understanding. It is built for teams that need sub-second latency, harsh environments, and auditability across camera fleets.

Capabilities

Built for teams that ship.

1

Model Factory

Train and evaluate vision models on private data with strong baselines.

2

Edge Runtimes

Optimized packs for GPU, NPU, and ARM targets.

3

Fleet Ops

Camera health, calibration drift, and model rollout controls.

4

Human Review

Labeling and exception queues wired into the loop.

In depth
01

What you get

Vision AI includes dataset versioning, active learning, adversarial evaluation, and a serving stack that can run in cloud regions or fully air-gapped. Operators manage model channels per site, with canary rollouts and automatic rollback when quality or latency SLOs break.

02

Built for production cameras

Consumer vision APIs assume clean frames. Vision AI assumes dirt, glare, night modes, and remounted cameras. Calibration services and domain-adaptation recipes keep accuracy stable as the physical world changes.

03

Integrate where work happens

Events stream into MES, VMS, WMS, or custom agent workflows via SDKs and webhooks. Every detection carries confidence, model version, and sensor metadata for downstream governance.

Next step

See Vision AI on your workloads.

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