Vision Intelligence Platform.
Studio AI bridges the gap between raw video footage and professional athletic analytics. By utilizing deep learning and spatial models, we extract physical statistics, identify movement efficiency, and automate post-match video production.
The Vision AI Pipeline
How Reticulo processes court feeds to generate professional insights.
Automated Tracking & Analysis
Our AI engine transforms standard camera recordings into a goldmine of performance telemetry. Using PyTorch, YOLO models, and specialized temporal classifiers, Studio AI maps every split-second coordinate:
🏃 Movement Tracking
Maps exact heatmaps, coordinate tracking, baseline shifts, and distance covered on the court.
🎾 Baseline Identification
Locates boundaries dynamically, tracking player positioning and shot placements relative to lines.
🏸 Shot Classification
Detects and classifies different athletic swings (e.g. smashes, drops, clears) automatically.
📈 Tactical Graphs
Outputs velocity graphs, work-rate charts, and relative positioning diagrams instantly.
Frame Extraction
Real-time streams are parsed frame-by-frame on our processing nodes.
Pose & Keypoint Estimation
Estimates coordinate maps for critical joints (shoulder, elbow, hip, knee, ankle).
Temporal Movement Models
Analyzes sequential frame changes to classify movement speed, balance, and stroke type.
Instant Athlete Dashboard
Packages output metrics into simple visual reports and sends them directly to player portals.
AI-Powered Smart Courts
Upgrade your sports academy or recreational complex into a Smart Facility. Reticulo integrates specialized hardware and local edge computing to deliver instant feedback directly to players on the court.
Active Recording
Scanning a QR to Analyze Play
A simple, friction-free interface designed for players. Unlike Radlo's player reports which run on simple smartphone camera input, Studio AI utilizes professional wall-mounted IP cameras and edge hardware installed directly on-site:
📱 Scan QR Code
Placed at the side of each court. Scan with any phone to open the controller.
🔘 One-Tap Controls
Tap Start, Pause, or Stop Recording directly from your mobile browser window.
⚡ Instant Reports
Stop recording to process session video. Get full recordings, 30s highlights, and performance metrics immediately.
🎬 Automated Highlights Generation
Our temporal model identifies high-intensity rallies, fast smashes, and intense exchanges, automatically cutting the full-length video into a shareable 30-second social media reel.
Standard Smart Court Hardware Architecture
IP Enabled Camera
One high-definition IP camera + microphone mounted behind the court for complete visibility.
Local Edge Device
Raspberry Pi 5 (or similar processor) installed on-site for immediate video streaming compression.
High Speed Network
Network switches and a central router managing stable, local, high-speed wired connections.
Reticulo Cloud AI
Processes pose temporal models, compiles metrics, and outputs video links back to the user app.
On-Device Edge Inference
Our long-term objective is to move processing directly onto user mobile devices. We are compiling light-weight YOLO and MediaPipe networks with ONNX/TensorRT, aiming for real-time offline biomechanical assessment directly inside the mobile app—no cloud server or edge hardware required.
Transform Your Courts Into Intelligent Arenas
Partner with Reticulo to integrate cutting-edge video analytics and automated highlights into your sports complex.