BAV ONE AI OS · Turn compatible cameras into programmable AI sensors

BHARAT AI VISION

BAV ONE
Computer Vision Technology Ecosystem

One Operating Layer for the Complete Computer Vision Lifecycle

Build, deploy, operate and scale computer vision across visual data, models, edge devices, cloud infrastructure, operational applications and enterprise systems.

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Discuss a Custom Computer Vision Project

Visual sources to business actionEdge, model and application lifecycleEnterprise integration and research

01Visual sources

02Data & datasets

03AI models

04Edge & cloud

05Events & intelligence

06Enterprise applications

BHARAT AI VISION ECOSYSTEM

One Operating Layer for the Complete Computer Vision Lifecycle

BAV ONE AI OS connects cameras, visual data, datasets, AI models, edge infrastructure, cloud services, enterprise applications and operational workflows through one centralized computer vision ecosystem.

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BAV ONE AI OS Product Ecosystem

Select a product to understand its role within BAV ONE AI OS.

BAV ONE AI OS — Enterprise Computer Vision Operating System connecting all products.
AVEKSHA: AI video intelligence, real-time monitoring, automated alerts, visual evidence and incident-management workflows powered by BAV ONE AI OS. Status: Available. Lifecycle stage: Operate, monitor and respond. Deployment: Control rooms, security operations centres and distributed monitoring teams.. Capabilities: Live monitoring, AI event alerts, Visual evidence, Incident workflows. The primary operational monitoring application in the Bharat AI Vision ecosystem.
BAV Edge: Camera connectivity, local inference, offline event processing and secure synchronization for edge computer vision deployments. Status: Available. Lifecycle stage: Connect, process and synchronize. Deployment: On-site edge devices, remote facilities and bandwidth-constrained environments.. Capabilities: Camera connectivity, Edge inference, Offline processing, Secure synchronization. Runs approved BAV ONE AI OS workloads close to cameras and visual devices.
BAV Vision Studio: A development workspace for dataset management, annotation, training, evaluation, optimization and continuous model improvement. Status: In Development. Lifecycle stage: Prepare, train and evaluate. Deployment: AI development, data operations and model-validation environments.. Capabilities: Dataset management, Annotation workflows, Training experiments, Model evaluation. Creates and improves the models orchestrated by BAV ONE AI OS.
BAV Model Hub: A governed catalogue for model artifacts, versions, deployment packages, licences and lifecycle history. Status: In Development. Lifecycle stage: Govern, package and release. Deployment: Central model-governance services supporting controlled deployment environments.. Capabilities: Model registry, Version history, Deployment packages, Licence records. Supplies controlled model versions and packages to BAV ONE AI OS deployments.
BAV Intelligence Cloud: Centralized multi-site analytics, event storage, licence visibility, device oversight and remote administration. Status: Configurable. Lifecycle stage: Manage, store and analyze. Deployment: Cloud or hybrid management for approved multi-site computer vision operations.. Capabilities: Multi-site analytics, Event storage, Device oversight, Remote administration. Extends BAV ONE AI OS with configurable cloud management and intelligence services.
BAV Integrate: APIs, webhooks and configurable connectors for video infrastructure, enterprise systems and operational workflows. Status: Configurable. Lifecycle stage: Connect, exchange and automate. Deployment: Integration layers between BAV ONE AI OS and approved customer systems.. Capabilities: REST APIs, Webhooks, Enterprise connectors, Workflow integration. Moves governed events and context between BAV ONE AI OS and enterprise systems.
BAV Developer Platform: A planned developer experience for APIs, SDKs, documentation, examples and sandbox-based integration testing. Status: Roadmap. Lifecycle stage: Extend, test and integrate. Deployment: Developer portals, integration sandboxes and customer engineering environments.. Capabilities: SDKs, API documentation, Code examples, Integration sandbox. Provides developer access to approved BAV ONE AI OS capabilities and interfaces.
BAV Research: Applied research into production video intelligence, efficient edge AI, benchmarks, optimization and responsible innovation. Status: In Development. Lifecycle stage: Investigate, benchmark and improve. Deployment: Applied research, controlled evaluation and prototype-validation environments.. Capabilities: Applied research, Benchmark design, Edge optimization, Responsible AI evaluation. Advances methods that can mature into governed BAV ONE AI OS capabilities.
BAV Command: A planned command experience for natural-language visual investigation, incident summaries, decision support and workflow automation. Status: Roadmap. Lifecycle stage: Investigate, summarize and orchestrate. Deployment: Planned operator and decision-support experiences within governed platform workflows.. Capabilities: Natural-language investigation, Incident summaries, Decision support, Workflow automation. A future interaction and decision-support layer for BAV ONE AI OS.

From Visual Data to Enterprise Intelligence

BAV ONE AI OS unifies the complete computer vision lifecycle—from cameras, datasets and AI models to edge deployment, enterprise applications and continuous improvement.

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High-level architecture

One lifecycle from visual source to enterprise action

BAV ONE provides the central operating and orchestration layer across the complete stack. Each deployment uses only the approved layers and components required for its operating environment.

Video sources

CCTV · IP cameras · RTSP · ONVIF · video files · industrial cameras · IoT vision devices

Edge

BAV Edge · connectivity · approved local inference · offline event processing

Data

Dataset Center · data management · AI-assisted labeling

Model development

Vision Studio · training · fine-tuning · validation

Model management

Model Hub · versioning · deployment · monitoring

Intelligence

Vision models · Vision Policies · event engine · decision engine

Application

AVEKSHA · monitoring · incidents · evidence · analytics

GenAI

Vision Copilot · natural-language investigation and reporting roadmap

Integration

BAV Integrate · API · webhook · IoT · ERP · VMS · third-party systems

Central platform

BAV ONE

Identity, policy, orchestration, deployment context, governance, telemetry and operational intelligence.

Complete lifecycle

One Ecosystem for the Complete Computer Vision Lifecycle

Manage the complete journey from raw visual data to continuously improving production intelligence.

Visual data collection

Dataset management

Data annotation

Dataset quality validation

AI model development

Model training

Testing and evaluation

Model optimization

Edge and cloud deployment

API and enterprise integration

Production monitoring

Retraining and continuous improvement

Core platform

BAV ONE AI OS

The Operating and Orchestration Layer for Enterprise Computer Vision

BAV ONE AI OS connects visual sources, datasets, AI models, edge devices, cloud services, events, applications, users and enterprise workflows through one centralized computer vision platform.

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01Which AI model runs on which camera or device

02Where inference runs

03Which schedules, zones and thresholds apply

04How detections become operational events

05Where evidence is stored

06Who receives alerts

07How incidents are handled

08How model performance is monitored

09How deployments are updated and scaled

Roadmap

A roadmap concept for natural-language access to permitted vision events, evidence, analytics and reports.

Roadmap and in-development descriptions communicate product direction and are not general-availability commitments.

Technology stack

Computer Vision Capabilities Across the Complete Technology Stack

Build from core vision methods through enterprise intelligence and continuous model improvement.

Core Vision Technologies

Object detectionImage classificationMulti-object trackingInstance segmentationSemantic segmentationPose estimationAction recognitionBehaviour analysisAnomaly detectionOCR and document visionAutomatic number-plate recognitionAuthorized facial verification and matchingImage processing and enhancementVisual inspectionDepth and distance estimation3D and spatial visionVision-language intelligence

Enterprise Intelligence

Real-time monitoringAutomated alertsEvent rulesIncident managementVisual evidenceOperational analyticsPredictive analyticsMulti-site dashboardsCamera healthModel healthReportsWorkflow automation

Model Development and Lifecycle

Data collectionDataset managementAnnotationTrainingValidationOptimizationModel registryVersion managementDeploymentMonitoringDrift detectionRetrainingContinuous improvement

Search the capability catalogue

Cross-industry intelligence

12 Solution Areas. Configured for Real Operations.

Explore complete operational solution areas with deployment, integration and availability context.

AI Safety and Emergency Detection

Detect configured safety and emergency conditions early enough to support human-led response.

Security, Intrusion and Perimeter Intelligence

Apply visual rules to defined boundaries, restricted areas and monitored assets.

People, Visitor and Crowd Intelligence

Measure movement, occupancy and flow without presenting estimates as infallible identity or headcount records.

Workforce Safety, PPE and Compliance

Assist safety teams with visible PPE and defined procedure monitoring.

Vehicle, Traffic and Parking Intelligence

Analyze vehicles, movement, lanes and parking activity across compatible camera views.

Behaviour, Anomaly and Sensitive Activity

Identify explicitly configured activity patterns and anomalies for human assessment.

Operational Process and Productivity Analytics

Measure visible process states, movement and utilization to support operational improvement.

Camera, Stream and Video Health Monitoring

Monitor the signals that determine whether computer vision can operate reliably.

Alerts, Evidence and Incident Management

Convert model output into traceable operational events with controlled evidence and ownership.

Dashboard, Analytics and Reporting

Present operational intelligence across cameras, sites, time periods and configured outcomes.

Users, Sites, Roles and Governance

Apply accountable access, ownership and policy controls across enterprise deployments.

Data, Integration, Deployment and AI Lifecycle

Manage the technical path from visual data and models to monitored production services.

Visual inputs

Computer Vision Beyond CCTV

Start with compatible existing infrastructure or scope specialized visual sources for custom development and research.

Existing CCTV camerasConfigurable

IP camerasAvailable

RTSP and ONVIF streamsConfigurable

NVR and VMS platformsConfigurable

Recorded videoAvailable

Uploaded imagesAvailable

Mobile camerasCustom Development

Industrial camerasCustom Development

Machine vision camerasCustom Development

Thermal and infrared camerasCustom Development

Depth camerasResearch / Roadmap

Drone camerasCustom Development

RoboticsResearch / Roadmap

Satellite and aerial imageryResearch / Roadmap

MicroscopesResearch / Roadmap

Scientific imagingResearch / Roadmap

Medical imaging researchResearch / Roadmap

Specialized imaging systemsCustom Development

Industry solution packs

Computer Vision Configured for 23 Industry Environments

Each pack maps operational problems to relevant capabilities, camera locations, deployment models and integration paths.

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.

Technical discussion

Move from architecture to an assessed implementation

Choose the conversation that matches your current stage. Product scope, integration support and availability are confirmed during discovery.

Udyam Registered MSME

Udyam Registered MSME Enterprise

Bharat AI Vision is registered under the Ministry of Micro, Small & Medium Enterprises, Government of India.

Udyam Registration No.: UDYAM-KR-03-0729503

BAV ONEComputer Vision Technology Ecosystem

One Operating Layer for the Complete Computer Vision Lifecycle

BAV ONE AI OS Product Ecosystem

One lifecycle from visual source to enterprise action

Video sources

Edge

Data

Model development

Model management

Intelligence

Application

GenAI

Integration

BAV ONE

One Ecosystem for the Complete Computer Vision Lifecycle

Visual data collection

Dataset management

Data annotation

Dataset quality validation

AI model development

Model training

Testing and evaluation

Model optimization

Edge and cloud deployment

API and enterprise integration

Production monitoring

Retraining and continuous improvement

BAV ONE AI OS

One operating system. A focused product family.

AVEKSHA

BAV Edge

BAV Vision Studio

BAV Model Hub

BAV Intelligence Cloud

BAV Integrate

BAV Developer Platform

BAV Research

BAV Command

BAV Vision Copilot

Computer Vision Capabilities Across the Complete Technology Stack

Core Vision Technologies

Enterprise Intelligence

Model Development and Lifecycle

12 Solution Areas. Configured for Real Operations.

AI Safety and Emergency Detection

Security, Intrusion and Perimeter Intelligence

People, Visitor and Crowd Intelligence

Workforce Safety, PPE and Compliance

Vehicle, Traffic and Parking Intelligence

Behaviour, Anomaly and Sensitive Activity

Operational Process and Productivity Analytics

Camera, Stream and Video Health Monitoring

Alerts, Evidence and Incident Management

Dashboard, Analytics and Reporting

Users, Sites, Roles and Governance

Data, Integration, Deployment and AI Lifecycle

Computer Vision Beyond CCTV

Computer Vision Configured for 23 Industry Environments

Move from architecture to an assessed implementation

Building a computer vision solution?

Need custom computer vision?

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Udyam Registered MSME Enterprise

BAV ONE
Computer Vision Technology Ecosystem