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Visual Sources
Cameras, RTSP streams, NVR, video files and image feeds from compatible existing infrastructure.
BAV ONE Computer Vision Operating System · Turn existing cameras into programmable AI sensors
Explore the platformBAV ONE Computer Vision Operating System · Turn existing cameras into programmable AI sensors
Explore the platformComputer Vision Operating System
BAV ONE is not a detection tool. It is a programmable visual intelligence platform that connects cameras to business context, policy, automated response and continuous improvement.
Visual Sources
Cameras, RTSP streams, NVR, video files and image feeds from compatible existing infrastructure.
AI Perception
AI models detect, track and classify people, objects, vehicles and activity in real time.
Vision Policies
Business rules, zones, schedules, duration and severity thresholds convert detections into decisions.
Automated Response
Alerts, events, webhooks, API calls, dashboard updates, reports and evidence are triggered automatically.
Analytics & Improvement
Operational analytics, policy validation and model lifecycle management improve outcomes over time.
BAV Vision Policy · Primary Differentiator
Traditional video analytics stops at a fixed alert. BAV ONE converts detections into business decisions using Vision Policies — combining cameras, AI models, zones, schedules, duration, severity, actions and evidence into one operational rule.
Person enters Chemical Storage Zone
Helmet = Missing
Duration > 5 Seconds
Create Critical Safety Event
Detection → Context → Rules → Decision → Action
“Alert me if someone enters the chemical storage area without a helmet for more than five seconds.”
CameraChemical Storage CAM-04
ObjectPerson + Helmet
ZoneChemical Storage
RulePerson inside zone AND helmet absent
Duration> 5 seconds
Time24 × 7
SeverityCritical
ContextRestricted storage area
ActionCreate incident
EvidenceSnapshot + event clip
NotificationSafety Manager
EscalationPlant Head after 5 minutes
ReportDaily safety report
BAV ONE is the Computer Vision Operating System. Every product below is a native component of the same platform — not a separate tool.
Industry explorer · 23 environments
Choose any supported environment to see its operating problems, example Vision Policy and deployment pattern. Every industry in the canonical BAV ONE catalogue is available here.
Education
Deployment
BAV ONE supports edge, on-premises, cloud and hybrid deployment. Final architecture depends on camera access, bandwidth, data policy, compute and integration requirements.
Run approved models close to the visual source for responsive, resilient operations.
Operate within customer-managed infrastructure and private networks.
Centralize approved workloads, administration, analytics and event services.
Combine local inference and retention with selective cloud management and visibility.
Processing can remain entirely on the client’s local network. Cloud connectivity is optional and configurable per deployment.
Proof without inflated claims
We do not publish unverified customer logos, accuracy percentages or deployment counts. A technical assessment establishes what can be demonstrated with your camera angle, scene, lighting and use case.
Live AVEKSHA product walkthrough
See the real product, not a slide deck.
Camera and stream compatibility review
Confirm your cameras work before committing.
Selected detection and Vision Policy validation
Test your specific use case on your own footage.
Pilot findings and rollout recommendation
Receive a written assessment and next steps.
Bharat AI Vision is registered under the Ministry of Micro, Small & Medium Enterprises, Government of India.
Udyam Registration No.: UDYAM-KR-03-0729503
Practical starting point
Validate selected use cases using representative compatible cameras before scaling. Includes compatibility review, Vision Policy configuration, dashboard, alerts, validation and a written pilot assessment.
Free AI assessment
Tell us the business condition. We will recommend the AI workflow, Vision Policy, deployment approach and pilot configuration.