Gesture Recognition
Detects hand shapes, movement, facial expression, and signing tempo with confidence scoring.
Computer vision
AI accessibility platform
Tathleel SignSense
Real-time sign language recognition and translation for classrooms, clinics, service desks, and public-sector teams that need communication to feel immediate.
Arabic SL
Research-focused recognition
< 250 ms
Designed for instant response
API-ready
Built for institutional workflows
Platform
AI that turns visual language into shared understanding.
SignSense combines computer vision, multimodal language models, and Arabic sign language research to detect gestures, interpret context, and deliver readable translations in real time.
The platform is shaped for everyday environments: a reception desk, a lecture hall, a telehealth appointment, or a government service counter where communication needs to be fast and respectful.
Privacy-aware deployment
Arabic-first translation
Edge and cloud inference
Solutions
Recognition, translation, and interfaces in one product layer.
Each module can stand alone or connect through a shared API for teams building accessible digital and physical services.
Live Translation
Converts recognized signs into Arabic or English text streams for service teams and captions.
Sign to text
Accessible Interfaces
Embeds translation into kiosks, dashboards, web apps, and call-center tools through a clean API.
API integration
Technology
Built around multimodal signals, not isolated gestures.
Sign language carries meaning through hands, face, posture, motion, and timing. The technology layer reads those signals together.
Vision Models
Pose estimation, hand tracking, and temporal recognition tuned for signing movement.
Language AI
Context-aware translation that keeps sentence intent readable for hearing teams.
Arabic SL Data
Dataset pipelines designed for annotation quality, review, and domain adaptation.
Low Latency
Optimized inference paths for kiosk, browser, and edge-device deployments.
Leadership
Research leadership with a product mandate.
Tathleel is led by Dr. Hamzah Luqman, founder and CEO, and informed by work from the Arabic Sign Language Processing Lab at KFUPM. The goal is practical accessibility technology with research-grade care.
AraSLP Lab direction
Peer-reviewed AI research
Global sign-language workshops
Visit AraSLP Lab
Contact
Bring accessible communication into your next service flow.
Share where SignSense could help: education, healthcare, public service, research partnerships, or enterprise integration.
hluqman@kfupm.edu.sa
Dhahran, Saudi Arabia