Advanced Gesture Interpretation
Our platform uses deep-learning models to translate sign language into text in real time, ensuring accessibility and accuracy.
Processes high-frame-rate video streams to map 3D hand and body landmarks using optimized computer vision models directly in the browser.
- 60fps skeletal landmark detection
- Low-latency spatial coordinate mapping
- Adaptive lighting and motion compensation
// Initialize vision tracking pipeline
const tracker = await SIGNAI.initTracker({
mode: "realtime",
precision: "high",
onFrame: (data) => process(data)
});Privacy Guarantee
All gesture processing occurs locally on your device. No video data is ever transmitted to our servers.
Integration Tools
Embed sign language detection into your apps. Use our SDKs for real-time, mobile, or cloud-based interpretation.
High-frequency hand tracking engine optimized for sub-100ms latency. Translates complex sign movements into text output instantly.
60fps stream
Under 80ms
import signai
client = signai.Client()
stream = client.detect_gestures(
source="webcam_0",
model="sign-v1"
)
for gesture in stream:
print(f"Detected: {gesture.label}")01. High Accuracy
99.2% gesture recognition rate in controlled lighting.
02. Data Privacy
Local processing options ensure user data never leaves.
03. Easy Setup
Get started in minutes with our modular SDK packages.
Technical FAQs
Answers to common questions about our AI sign language detection engine.
Need more technical details?
Contact our engineering team for integration support.