BAV ONE AI OS

The enterprise computer vision operating platform connecting visual sources, AI perception models, Vision Policies, edge devices, events, evidence, and enterprise workflows.

Enterprise Challenge

Why cameras need a Computer Vision Operating System

Most CCTV systems sit idle, generating petabytes of unwatched video. Siloed AI plugins create fragmented alerts without context, rules, or operational integration.

CHALLENGE 01

Fragmented Visual Data

Multiple camera vendors, RTSP streams, and proprietary NVRs with no unified perception layer.

CHALLENGE 02

Alert Fatigue

Fixed AI bounding boxes trigger hundreds of irrelevant false alarms without business context.

CHALLENGE 03

Disconnected Actions

Detections fail to trigger automated tickets, ERP workflows, or supervisor escalations.

Platform Concept

See. Understand. Decide. Act. Learn.

BAV ONE provides a unified runtime operating layer over existing camera networks.

STAGE 01

SEE

Cameras / RTSP / NVR

STAGE 02

UNDERSTAND

AI Models / Perception

STAGE 03

DECIDE

Vision Policies / Rules

STAGE 04

ACT

AVEKSHA / Workflows / API

STAGE 05

LEARN

Analytics & Improvement

Platform Architecture

End-to-End Visual Intelligence Architecture

From RTSP stream ingest at the edge to enterprise ERP and mobile workflow execution.

CAMERAS / RTSP / NVRVisual Ingest
BAV EDGELocal Inference
BAV ONE AI OSVision Policies
AVEKSHAEvents & Alerts
ENTERPRISE APPSAPI / ERP / Mobile

Orchestration

Control what runs, where it runs and what happens next

CONTROL 01

Which AI model runs on which camera or device

CONTROL 02

Where inference runs

CONTROL 03

Which schedules, zones and thresholds apply

CONTROL 04

How detections become operational events

CONTROL 05

Where evidence is stored

CONTROL 06

Who receives alerts

CONTROL 07

How incidents are handled

CONTROL 08

How model performance is monitored

CONTROL 09

How deployments are updated and scaled

Flexible Deployment

Edge, On-Premises, Cloud or Hybrid

Edge AI

Run approved models close to the visual source for responsive, resilient operations.

On-Premises

Operate within customer-managed infrastructure and private networks.

Cloud

Centralize approved workloads, administration, analytics and event services.

Hybrid

Combine local inference and retention with selective cloud management and visibility.

Enterprise Data Governance

Video streams remain on your local private network when deployed on BAV Edge. Only structured event metadata and evidence clips are transmitted to central dashboards.

Controlled API Access

All webhooks, event notifications, and REST endpoints are authenticated and project-scoped for enterprise security compliance.

Feature availability and performance depend on camera compatibility, resolution, frame rate, field of view, lighting, network stability, infrastructure, scene complexity, suitable training data, integration requirements and approved technical scope.

From visual data to enterprise intelligence

Scope your BAV ONE AI OS architecture

Talk to a Computer Vision Expert to design your camera, policy, and edge deployment strategy.