Video acquisition and preparation
Control framing, resolution, lighting feedback, hand and body visibility, timing, and media quality.
Accessibility, Language & Privacy
Real-Time Sign Language Communication
Build bidirectional assistive workflows connecting spoken language and explicitly supported sign languages across video calls, meetings, live streams, education, healthcare, customer service, kiosks, and digital applications.
Sign languages are full natural languages with regional and linguistic variation-not universal gesture systems. OPTIME can engineer a defined communication workflow combining video understanding, speech recognition, language processing, sign representation, avatar rendering, TTS, WebRTC, and private AI for supported languages, domains, vocabularies, and evaluated environments.
WHY THIS MATTERS
Accessible communication requires language, video, timing, and human-support boundaries to work together.
A person using sign language may need to communicate through a call, live stream, classroom, kiosk, customer-service workflow, or digital application that was designed primarily for speech and text.
Adding captions alone does not create bidirectional sign-language communication.
- hand movement;
- body pose;
- facial expression;
- timing;
- regional language;
- context;
- vocabulary;
- camera placement;
- video quality;
- turn-taking;
- corrections;
- human interpreter boundaries.
Build real-time assistive communication between speech and explicitly supported sign languages across calls, meetings, streams, classrooms, kiosks, and applications.
SYSTEM PRESSURES
Why simple implementations break down.
Sign languages are treated as universal gestures
A one-size-fits-all model cannot represent every sign language, region, and domain.
Video conditions affect interpretation
Camera view, lighting, frame rate, occlusion, hands, face, body, and background influence model behavior.
Speech-to-sign output loses linguistic quality
Literal word substitution may not produce meaningful signed communication.
Sign-to-speech loses temporal context
Individual frames do not establish the meaning of a sequence.
Communication systems lack native integration
Assistive workflows may operate as separate applications rather than participating in the actual call or meeting.
Consequential settings require clear limits
Healthcare, legal, financial, or emergency interactions may require qualified human interpretation.
COMPLETE SOLUTION
Engineer the workflow as one controlled production system.
The complete system can connect speech capture, STT, language and intent processing, translation into supported sign representation, avatar or visual rendering, synchronized delivery, signer video, hand, body, face, and motion processing, temporal interpretation, supported language decoding, text generation, TTS, live media delivery.
CAPABILITY GROUPS
What the complete Solution can contain.
Pose, hand, face, and motion analysis
Extract approved spatial and temporal features required by the target sign language and use case. Supported interpretation combines hands, body, pose, facial-expression context, motion, and temporal context according to the supported sign language, domain, vocabulary, camera environment, and evaluation evidence.
Temporal sign interpretation
Interpret sequences rather than isolated gestures and preserve context, corrections, and uncertainty.
Speech recognition and language processing
Process spoken input, language, terminology, and conversational state.
Sign representation and rendering
Produce supported visual output through an avatar, animated representation, or another approved medium.
Text and speech output
Generate captions, text, or TTS for the other participant.
Communications integration
Integrate with WebRTC, Baasi, calls, meetings, contact centers, streams, kiosks, and applications.
Evaluation and correction
Use appropriate language expertise, representative users, defined vocabulary, correction paths, and explicit unsupported cases.
ARCHITECTURE FLOW
Connect the complete path from source and session to operation.
The flow begins with signing or speaking participant and preserves control through every processing and operating layer.
Signing or speaking participant
Signing or speaking participant
Camera
Camera, microphone, call, meeting, stream, or kiosk session
Video and audio capture
Video and audio capture, quality, timing, and participant identity
Pose
Pose, hand, face, motion, STT, and language processing
Supported sign-language or spoken-language interpretation
Supported sign-language or spoken-language interpretation
Context
Context, terminology, uncertainty, and correction
Sign representation
Sign representation, text, captions, or TTS output
Synchronized WebRTC
Synchronized WebRTC, Baasi, stream, or application delivery
User correction
User correction, interpreter escalation, and human support
Evaluation
Evaluation, privacy, model versions, and operations
ARCHITECTURE DECISIONS
Make important trade-offs explicit before they become operating constraints.
Speech-to-sign, sign-to-speech, or both
Approach A
Speech-to-sign, sign-to-speech,
Approach B
both
Selection considerations
Define the required direction and product boundary rather than assuming both have equal maturity.
Avatar or human interpreter integration
Approach A
Avatar
Approach B
human interpreter integration
Selection considerations
Use machine-generated representation where validated and preserve a path to qualified interpreters when required.
Device, edge, or central inference
Approach A
Device, edge,
Approach B
central inference
Selection considerations
Choose according to latency, privacy, hardware, video quality, and operational support.
Open vocabulary or defined domain
Approach A
Open vocabulary
Approach B
defined domain
Selection considerations
A bounded domain may provide more reliable communication than unrestricted general language.
Automated assistance or human-supported workflow
Approach A
Automated assistance
Approach B
human-supported workflow
Selection considerations
Use human escalation in consequential or unsupported situations.
REPRESENTATIVE SCENARIOS
How the Solution applies in representative situations.
Representative examples: Each scenario is bounded by the supported sign language, domain, environment, evaluation evidence, correction path, and interpreter policy.
Accessible customer-service call
- Scenario
- A signing customer communicates with an agent through supported sign-to-text or speech and speech-to-sign assistance.
Accessible lecture or live stream
- Scenario
- Spoken content receives synchronized sign-language visual output alongside captions.
Classroom interaction
- Scenario
- Students and teachers use sign-language assistance integrated with video, captions, and educational material.
Public-service kiosk
- Scenario
- A kiosk supports speech, text, and supported sign-language interaction.
Healthcare communication
- Scenario
- A patient and staff use an assistive workflow while the system clearly distinguishes communication assistance from clinical interpretation.
Internal workplace meeting
- Scenario
- A supported sign-language participant joins a meeting without relying on a separate detached application.
ENGAGEMENT APPROACH
Move from operating context to a validated production system.
Phase 1
Language, user, and communication assessment
Define target sign language, vocabulary, scenarios, users, media, latency, quality, privacy, and interpreter boundaries.
Phase 2
Representative language pilot
Prove one direction and a bounded scenario with representative users and media.
Phase 3
Communications and application integration
Integrate video, models, rendering, Baasi, WebRTC, applications, correction, and private infrastructure.
Phase 4
Evaluation and controlled rollout
Validate linguistic quality, unsupported cases, video variation, latency, user experience, privacy, and escalation.
POSSIBLE DELIVERABLES
Evidence and implementation that can transfer into operation.
Sign-language communication architecture
Video capture and quality workflow
Sign-to-text or speech prototype
Speech-to-sign representation prototype
Avatar or rendering integration
WebRTC/Baasi communications integration
Kiosk or web application
Private inference environment
Evaluation dataset and quality framework
Correction and escalation workflow
Accessibility and operating documentation
Final deliverables depend on the selected architecture, validation evidence, and engagement scope.
Start with the workflow, evidence, integration, deployment, performance, and operating constraints that determine whether this system can work in production.
START A TECHNICAL CONVERSATION
Discuss the system, constraints, and engineering outcome.
Share the product, workload, architecture, infrastructure, performance, security, or delivery constraint that must be resolved.
Austin, Texas
Distributed engineering teams across North America, Europe, the Caucasus, and Latin America.
[email protected]