Best suited for
Teams and operating environments
- Security operations centres
- Control-room and command-centre teams
- Distributed facility operators
- Teams replacing manual video review with event-led monitoring
AI Video Intelligence, Monitoring and Incident Management
AVEKSHA
Turn compatible live and recorded video into configurable events, alerts, evidence and operational workflows.
AvailablePowered by BAV ONE AI OS
Availability
available
Core capabilities
5 areas
Workflow stages
6 stages
Platform relationship
Powered by BAV ONE AI OS
Product overview
Where AVEKSHA fits in your visual-intelligence operations
AVEKSHA is the operator-facing application for monitoring visual sources, reviewing AI-generated events and coordinating incident response. It brings live video, event context, evidence and accountable workflows into one operational view while BAV ONE AI OS governs the underlying computer vision lifecycle.
Operational purpose
Turn compatible live and recorded video into configurable events, alerts, evidence and operational workflows.
Capabilities and applications
What AVEKSHA is designed to support
Product capabilities
Functional scope
- Real-time monitoring
- Configurable AI modules
- Alerts and incident workflows
- Evidence and reporting
- Multi-site operations
Example use cases
Operational applications
- Perimeter and restricted-zone monitoring
- Safety and process-compliance events
- Queue, crowd and occupancy awareness
- Incident triage and evidence review
- Multi-site operational visibility
How it works
A governed workflow from configuration to operational value
01
Connect approved video sources
02
Configure AI modules, zones and schedules
03
Generate and prioritize visual events
04
Notify the right operator or team
05
Review evidence and manage the incident
06
Report outcomes and refine rules
Deployment
Operating models
- On-premises for private-network operations
- Edge-led for responsive local event processing
- Hybrid for local inference with centralized oversight
- Cloud-managed where approved by the operating environment
Integration
Connected systems and services
- IP cameras and compatible RTSP streams
- Selected VMS and NVR platforms
- Email, messaging and webhook notifications
- Access control and enterprise workflow systems
- BAV Edge and BAV Integrate
Governance and control
Controls designed around accountable operation
- Role-based operator access
- Configurable event retention and evidence handling
- Audit-friendly incident history
- Human review before consequential action
- Site-specific thresholds, zones and schedules
Potential outcomes
Value the implementation is designed to create
- Faster review of relevant visual events
- More consistent incident-handling workflows
- Searchable evidence linked to operational context
- Central visibility across approved sites
- Reduced dependence on continuous manual screen watching
Planning considerations
Define the operating boundary before deployment
Product fit, performance and architecture depend on the visual environment, infrastructure, integrations and governance model. These areas should be reviewed during discovery.
- Camera placement, lighting and scene conditions
- Network bandwidth and evidence-retention policy
- False-positive and false-negative tolerance
- Escalation ownership and operator training
- Privacy, signage and applicable local requirements
Availability and scope
AVEKSHA is available through a scoped implementation. Final modules, integrations and deployment architecture are confirmed during technical discovery.
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
Discuss AVEKSHA
Review your visual sources, operating conditions, integration needs and deployment options with the Bharat AI Vision team.