Faster risk awareness
Notify the right team when a defined condition becomes an incident.
AI ACTIVE BAV ONE turns compatible cameras into programmable AI sensors
See Vision PolicyAI ACTIVE BAV ONE turns compatible cameras into programmable AI sensors
See Vision PolicyBusiness outcomes
Every deployment begins with an operating problem, a measurable response workflow and suitable camera conditions.
Notify the right team when a defined condition becomes an incident.
Attach severity, ownership, evidence and escalation to each policy.
Measure queues, occupancy, flow, process states and recurring exceptions.
Validate selected use cases before wider site or multi-location rollout.
Interactive BAV ONE demonstration
Describe an operating condition in your own words. This front-end demonstration shows how a requirement can be structured as a Vision Policy; it does not call a live AI service.
BAV Vision Policy
Describe the condition in business language. BAV ONE combines cameras, models, zones, schedules, duration, severity, actions and evidence into one operational rule.
“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
Available commercial application
Bring live monitoring, AI events, incidents, evidence, analytics, reports, camera health and multi-site operations into one operator-facing workspace.
Book Live Product DemoA live product walkthrough is available during a scheduled demo. No customer names, deployment figures or performance claims are shown here.
Outcome-led intelligence
Start with the business outcome. Individual AI capabilities are configured inside an intelligence workflow—not sold as isolated alerts.
Turn visible safety conditions into accountable incidents and escalation workflows.
Understand entry, occupancy, queues, dwell and movement across defined spaces.
Monitor approved vehicle flows, access conditions and parking operations.
Apply site rules to boundaries, access zones, schedules and unusual events.
See visible process delays, material movement and workflow exceptions.
Configure visual inspection for the defects and conditions relevant to your process.
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
Keep your cameras. Add intelligence.
BAV ONE can operate as an intelligence layer above compatible existing CCTV and IP camera infrastructure. Camera protocol, stream quality, scene and compute suitability are confirmed during assessment.
Compatible CCTV / IP cameras
BAV Edge: connectivity, inference and local event processing
Secure event communication where configured
BAV ONE / AVEKSHA: policy, incidents and analytics
See. Understand. Decide. Act. Learn.
BAV ONE connects perception to business context, policy, response, evidence and improvement.
Receive video from compatible cameras and approved visual sources.
Apply trained vision models to people, objects, activity and scene conditions.
Evaluate zones, schedules, duration, severity and business context.
Create incidents, notify teams, call APIs or trigger approved workflows.
Review evidence and outcomes to improve policies, models and operations.
Category difference
Traditional analytics stops at a fixed alert. BAV ONE connects the customer requirement to policy, context, action, evidence and improvement.
BAV Vision Studio
Not every requirement belongs in a predefined catalogue. For example: “Count cement bags and identify torn bags.” Vision Studio supports custom-development engagements from representative data through validation and deployment.
BAV Vision Copilot
Roadmap concept. These examples describe intended natural-language investigation and reporting—not generally available functionality.
Built on BAV ONE
BAV ONE extends beyond video analytics. It provides the foundation for camera connectivity, edge intelligence, AI models, Vision Policies, model lifecycle management, integrations and operational applications.
Explore the Computer Vision Technology EcosystemCamera connectivity
Edge intelligence
AI models
Vision Policies
Model lifecycle
Integrations
Operational applications
Deployment
Final architecture depends on camera access, bandwidth, latency, 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.
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
Camera and stream compatibility review
Selected detection and Vision Policy validation
Pilot findings and rollout recommendation
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. Include compatibility review, Vision Policy configuration, dashboard, alerts, validation and a pilot assessment.
Free AI assessment
Tell us the business condition. We will recommend the AI workflow, Vision Policy, deployment approach and pilot configuration.