Best suited for
Teams and operating environments
- Customer engineering teams
- System integrators
- Independent software partners
- Product teams embedding approved visual-intelligence workflows
APIs, SDKs and Developer Tools
BAV Developer Platform
Support approved API access, implementation guidance, code examples and integration testing.
Custom DevelopmentDeveloper access to BAV ONE AI OS capabilities
Availability
custom
Core capabilities
5 areas
Workflow stages
6 stages
Platform relationship
Developer access to BAV ONE AI OS capabilities
Product overview
Where BAV Developer Platform fits in your visual-intelligence operations
BAV Developer Platform is the custom developer-access layer for teams building approved experiences around BAV ONE AI OS. Engagements can include API specifications, authentication guidance, event examples, test environments and implementation support.
Operational purpose
Support approved API access, implementation guidance, code examples and integration testing.
Capabilities and applications
What BAV Developer Platform is designed to support
Product capabilities
Functional scope
- API access
- Authentication guidance
- Webhooks
- Code examples
- Developer onboarding
Example use cases
Operational applications
- Consume approved event APIs
- Build webhook-driven applications
- Embed event and evidence context
- Prototype integration workflows
- Validate authentication and error handling
How it works
A governed workflow from configuration to operational value
01
Define the integration use case
02
Approve applications and data access
03
Issue scoped test credentials
04
Build against documented interfaces
05
Validate limits and failure behavior
06
Promote through an implementation review
Deployment
Operating models
- Customer-hosted API clients
- Project-specific integration sandbox
- Server-to-server access
- Edge, on-premises or cloud consumers subject to scope
Integration
Connected systems and services
- BAV ONE AI OS APIs
- AVEKSHA events and workflows
- BAV Integrate webhooks
- Customer applications and portals
- Identity, secrets and observability tooling
Governance and control
Controls designed around accountable operation
- Application registration and scoped credentials
- Environment separation
- Rate and usage controls
- API version and deprecation guidance
- Access logging and credential rotation
Potential outcomes
Value the implementation is designed to create
- Faster approved application integration
- Clearer implementation contracts
- Safer testing before production access
- Reusable event-consumption patterns
- Better coordination between platform and customer teams
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.
- Approved API and data scope
- Credential storage and rotation
- Traffic limits and error handling
- Interface stability and version policy
- Production support and ownership model
Availability and scope
Developer access is delivered through scoped custom engagements. APIs, sandbox access and support levels depend on the approved implementation.
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 BAV Developer Platform
Review your visual sources, operating conditions, integration needs and deployment options with the Bharat AI Vision team.