BigBearz Technology
Advanced Vision Engine v4.2

The Engine

We don't just track objects. We model physics with sub-millimeter precision. Our architecture transforms raw video streams into actionable kinematic vectors.

[ FULL-STACK ARCHITECTURE ]

Pixels to Vectors.

Our vision pipeline is a tiered system designed for precision at scale. From heavy GPU-bound detection to edge-optimized inference.

Tracking Precision

Sub-pixel joint metrics

Inference Latency

8ms - 14ms (GPU Cloud)

Data Output

labels.json / Supabase SQL

Neural Core

Proprietary Detection + Reasoning

System Log: #8829-K

// INITIALIZING KINEMATIC_SOLVER_V4

LOADED MODELS: [POSE-SOLVER-V4, TRAJECTORY-V3]

IDENTIFYING_ROOT_CENTROID... [SUCCESS]

CALCULATING_TORSO_YAW... (12.42 deg)

MAPPED_JOINTS: 17/17 [L_KNEE, R_KNEE, L_HIP, R_HIP ...]

GENERATE_TACTICAL_FEEDBACK... [LLM_ASYNC_CALL]

>> Pipeline Latency: 12ms

>> Coordinate Integrity: 99.8%

[ PROCESSING PIPELINE ]

From Pixels to Intelligence.

Stage 1

Video Input & Processing

Raw video stream processing

  • Frame extraction
  • Resolution normalization
  • Frame decoding
  • Quality enhancement

Stage 2

Detection & Tracking

Multi-object detection and tracking

  • Player detection
  • Ball detection
  • Instance segmentation
  • Multi-object tracking
  • Re-identification

Stage 3

Pose & Kinematic Analysis

Biomechanical extraction

  • 17+ keypoint detection
  • Joint angle calculation
  • Velocity vectors
  • Trajectory smoothing
  • 3D projection

Stage 4

Intelligence & Output

Neural reasoning and data export

  • Tactical analysis
  • Technique classification
  • JSON labels
  • Video overlay
  • API response

Processing Speed

8-14ms/frame

Detection Accuracy

99.8%

Keypoint Precision

Sub-pixel

Pipeline Latency

<12ms

[ THE PIPELINE ]

Unified Intelligence Hub.

YOLO + SAM + OC-SORT Fusion

1. Multi-Stage Detection

YOLO-based object detection, SAM segmentation, and OC-SORT tracking for concurrent detection of high-velocity objects and player pose landmarks with sub-pixel resolution.

Skeletal Mapping v4 + Biomechanical Solver

2. Kinematic Extraction

Proprietary joint-angle solvers mapping high-density skeletal landmarks to real-world anatomical vectors.

Cognitive Reasoning Engine

3. Neural Reasoning

Transforming raw tracking coordinates into high-level tactical insights and biomechanical feedback via LLM reasoning.

High-Throughput GPU Cloud

4. Deployment Layer

Centralized processing via specialized orchestration servers on dedicated GPU instances for massive batch analysis.

Native
SDK Integration.

Deploy our high-fidelity tracking into your own application. Our lightweight edge binaries provide professional-grade analysis without the server-side lag.

  • WASM & Native Binaries
  • Real-time JSON Streaming
  • Cross-Platform Unity Support
Labels.json View
{
  "frame": 1240,
  "skeletons": [
    {
      "id": "athlete_01",
      "conf": 0.998,
      "joints": {
        "l_knee": { "x": 120.4, "y": 450.2, "angle": 158.2 },
        "r_knee": { "x": 125.1, "y": 455.1, "angle": 162.4 },
        "velocity": "4.2m/s"
      }
    }
  ],
  "event": "BACK_HAND_DRIVE",
  "intensity": 0.82
}