Bang Vision Platform

Video to Vision Features

An edge AI vision platform that transforms video streams into machine-readable vision features through a programmable pipeline.

Input
RTSP · Camera · File
Processing
On-device AI inference
Output
Structured vision features
Vision Input
RTSP · USB Camera · File
RTSP ONVIF Decoding
BangStream · AI Pipeline
Detect → Track → Recognize
Detection Tracking Recognition
Vision Feature API
Structured Features
REST Webhook Events

Capabilities

A complete vision processing pipeline

Video Ingestion

RTSP and camera stream input with low-latency video decoding and multi-stream scheduling.

  • RTSP / ONVIF support
  • Hardware-accelerated decoding
  • Multi-stream management
AI

AI Processing

Pluggable algorithms for detection, recognition, and tracking with parallel model inference.

  • Object detection
  • Face recognition
  • Object tracking

Feature Output

Unified vision feature structure delivered via REST API, webhooks, and event streams.

  • REST API
  • Webhook
  • Structured events

Deployment

Built for the edge

Currently optimized for edge deployment scenarios. Cloud-based large-scale video management is not the focus of the platform.

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.

Get Started

See the platform in action

Explore the technical demo, or tell us about your use case to request a live walkthrough.