Around SDK, open interfaces, developer docs and cooperation support, we provide customers and ecosystem partners a more efficient path to edge vision brain access and deployment.
Quick device access, capability invocation and application development
Easy integration with vehicle control, scheduling and execution systems
Lower the barrier to deployment, debugging and delivery
01 / Core Platform Capabilities
Provides C++ / Python SDK to help customers quickly complete device access, capability invocation and application development.
Supports standard APIs, data callback and control integration, easy to integrate with vehicle control, scheduling and cloud platforms.
Covers deployment guides, interface manuals, debugging guides and typical scenario examples to help teams get started faster.
Provides joint debugging, project delivery, ecosystem co-building and scenario adaptation support to improve efficiency and delivery stability.
02 / Integration & Debugging
Around vision result access, scene semantic parsing, event callback and control integration, we provide reusable interfaces and engineering support.
With developer docs, sample projects and debugging tools, we help customers and partners shorten integration cycles and complete the journey from algorithm access to scenario deployment verification.
Quickly integrate IPC, controllers and edge computing platforms.
Fetch obstacle, area and semantic results as needed.
Supports log export, state diagnostics and issue localization.
Advance real project deployment through scenario adaptation and joint development.
03 / Ecosystem Collaboration
The developer ecosystem is not only about code access, but also about solution integration, technical training, task-semantics alignment and delivery collaboration in real projects.
Through standardized materials, docs, interfaces and support processes, we help partner teams advance pilots and scaled applications more steadily.
Work with customers and integrators on device, algorithm and scenario integration.
Hands-on training materials for deployment, interfaces and debugging.
Output more task-suited semantic and control suggestions for business scenarios.
Establish long-term collaboration around delivery and continuous iteration.
