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Video Ingestion
RTSP and camera stream input with low-latency video decoding and multi-stream scheduling.
- RTSP streams
- Direct camera
- Video files
BangStream
Edge AI Vision Platform
A real-time video pipeline from camera to AI inference to structured vision features — fully programmable.
Features
Real-time video and AI inference
AI
AI Processing
Pluggable algorithms for detection, recognition, and tracking with parallel model inference.
- Object detection
- Face recognition
- Object tracking
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Feature Output
Unified vision feature structure delivered via REST API, webhooks, and event streams.
- REST API
- Webhook
- Structured events
Architecture
End-to-end pipeline
The platform does not bind to any specific algorithm — algorithms exist as plugins, and applications consume only standardized vision features.
Input
- RTSP streams
- Direct camera
- Video files
Processing
- Object detection
- Face recognition
- Object tracking
Output
- REST API
- Webhook
- Structured events
Deployment
Deployment Targets
We are upfront about what is not supported — focusing on real-time edge vision processing is what makes the platform strong.
Current Support
✓
Android Edge Devices
RTSP input and on-device AI inference.
✓
Linux Edge Devices
ARM64 with GPU/NPU acceleration (hardware-dependent).
✓
RK3588 Platforms
Evaluation and development support.
In Progress
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Industrial Cameras
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Custom Sensor Integration
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Hardware Control Layer
Future
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BangOptix Vision Acquisition Platform
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Advanced Sensor & Optics Integration
Not in Scope:
Currently optimized for edge deployment scenarios. Cloud-based large-scale video management is not the focus of the platform.
Get Started
See the platform in action
Explore the technical demo, or tell us about your use case to request a live walkthrough.