Bang Vision
Request Demo

Technical Demo

Demo — Video to Structured Vision Features

Proving that video can be reliably converted into structured vision data. This is a static capability showcase, not an interactive demo.

Platform

Pipeline Architecture

From video input to feature output

Input

  • RTSP streams
  • Direct camera
  • Video files

Processing

  • Object detection
  • Face recognition
  • Object tracking

Output

  • REST API
  • Webhook
  • Structured events

Screenshots

Live run examples

Placeholder — to be filled with real run screenshots: video stream, detection boxes, feature output, API response.

Placeholder — to be filled with real run screenshots: video stream, detection boxes, feature output, API response.
Placeholder — to be filled with real run screenshots: video stream, detection boxes, feature output, API response.
Placeholder — to be filled with real run screenshots: video stream, detection boxes, feature output, API response.
Placeholder — to be filled with real run screenshots: video stream, detection boxes, feature output, API response.

Feature Output

Vision Feature structure

The platform outputs a unified structured vision feature. Applications consume only standardized data, independent of algorithm implementation.

// Vision Feature — unified structured output
{
  "type": "face",
  "timestamp": "2026-07-23T10:42:18.412Z",
  "source": {
    "stream_id": "rtsp://camera-01/track1",
    "frame": 18472
  },
  "object": {
    "class": "person",
    "bbox": [320, 118, 488, 402],
    "embedding": "<512-dim feature vector>",
    "attributes": { "track_id": 17 }
  },
  "confidence": 0.964,
  "metadata": {
    "model": "face-det-v2",
    "device": "rk3588-edge"
  }
}

API Example

REST API call

# Subscribe to vision features from a stream
curl -X POST https://api.bangvision.ai/v1/streams \
  -H "Content-Type: application/json" \
  -d '{
    "input": "rtsp://camera-01/track1",
    "pipeline": ["detect", "track", "recognize"],
    "output": { "type": "webhook", "url": "https://your.app/hooks/vision" }
  }'

# Response
{
  "stream_id": "st_8f3a...",
  "status": "running",
  "features_url": "https://api.bangvision.ai/v1/streams/st_8f3a/features"
}

Performance

Reference performance

Placeholder — to be filled: Latency / FPS / Device (e.g. Jetson Orin / RK3588).

Latency

—

End-to-end

Placeholder — to be filled.

—

Inference

Placeholder — to be filled.

Throughput / Device

—

FPS

Placeholder — to be filled.

—

Tested Devices

Placeholder — e.g. Jetson Orin / RK3588.

Get Started

See the platform in action

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

Request Demo Platform