Scene descriptions
The camera can provide input for descriptions of the surrounding scene. AI output may be incomplete or inaccurate and should not be treated as safety-critical information.
OCR reading and assistive AI eyewear
Confidant Assistive Smart Glasses
Confidant combines a front camera and optical character recognition (OCR) with spoken output to help blind and low-vision users access visible printed text, while two forward sensors, a GPS module and handheld controller support additional assistive workflows.
- OCR text recognitionCaptures visible printed text for spoken reading support.
- Two forward sensorsShown as front-facing obstacle sensors on the frame.
- GPS moduleA separate positioning module or antenna is pictured.
- Handheld controllerProvides physical access to the illustrated functions.
System overview
A coordinated assistive system, not just a camera frame.
The supplied sheet presents the glasses as one part of a larger workflow. Visual input comes from the front camera, forward obstacle information comes from two frame-mounted sensors, positioning is supported by the separate GPS module, and functions are selected from the handheld controller.
- Glasses: front camera and two front-facing obstacle sensors are shown.
- Positioning: a separate GPS module or antenna is pictured for route-assistance workflows.
- Control: a handheld controller is shown with dedicated function buttons and a display.
- Project boundary: cabling, connectivity, application services and package contents must be confirmed in the quotation and BOM.
Spoken assistance
Scene information, questions and remote support.
The attachment presents camera-assisted descriptions and voice interaction as supplemental information for blind and low-vision users. Outputs depend on image quality, environment, model behavior and the final service configuration.
Spoken questions
The supplied sheet presents a question-and-answer workflow for requesting information about what the camera can see. Supported languages and response quality require project validation.
Remote video assistance
A remote-assistance workflow is shown. Network, application, video quality, latency, consent, privacy and support-staffing requirements are project-defined.
Supplied photo and videos
See the system in broadcast and field-use media.
One supplied photograph and three supplied MP4 files show the glasses in use. They provide visual context only and do not replace the current product facts, project validation or approved commercial documents on this page.
Forward obstacle alerts
Two front-facing sensors support spoken awareness prompts.
The product sheet shows two obstacle sensors mounted toward the front of the frame. They are presented as a source of spoken forward-obstacle and estimated-distance information.
No validated detection range, field of coverage, object taxonomy, response time or environmental performance is published here because the attachment contains conflicting range and coverage language. Establish acceptance criteria and test the final configuration in representative environments before deployment.
Safety boundary: the sensors do not provide complete surrounding coverage or a collision-avoidance guarantee. Confidant must not be used as the sole navigation or safety aid.
Route guidance
Spoken route and deviation prompts, with clear dependencies.
The supplied sheet presents map-based walking guidance supported by the pictured GPS module or antenna. The workflow may announce route instructions and deviations through the configured audio output.
- Map dependency: routing quality and coverage depend on the selected map and region.
- Position dependency: GPS availability and accuracy vary with location and surroundings.
- Service dependency: connectivity, application availability and account requirements must be defined for the project.
- User responsibility: route prompts supplement, but do not replace, mobility skills and environmental awareness.
OCR-assisted reading
OCR for visible printed text, with spoken reading support.
The supplied product sheet presents camera-based optical character recognition (OCR) for visible printed text with spoken output. Supported languages, handwriting, screen-text support, minimum text size, offline availability, latency and accuracy are not published. Performance depends on lighting, focus, framing, contrast, layout, connectivity and the final model and service configuration.
Printed-text recognition (OCR)
The camera captures visible printed content for OCR-assisted reading. Language coverage, layout handling and spoken-output behavior must be validated with representative material before deployment.
Common objects and selected currency
The sheet shows these recognition categories without a validated object count, currency list or accuracy value. Define the required classes before acceptance testing.
Optional enrolled contacts
Familiar-person recognition should be limited to explicitly enrolled contacts, with informed consent, access controls, secure biometric-data handling and a deletion process.
OCR boundary: OCR output is assistive information and may be incomplete or inaccurate. Important text should be verified through an appropriate secondary method. No diagnostic, therapeutic or vision-restoration performance is claimed.
Published reference status
What the supplied sheet confirms—and what it does not.
This page separates the illustrated system architecture and workflows from specifications that were not supplied. Final commercial commitments belong in approved project documents.
- Product form shown
- Blue glasses with a front camera, two front-facing obstacle sensors and a cable-connected system arrangement.
- Separate modules shown
- GPS module or antenna and a handheld smart-box controller.
- Assistance workflows shown
- Scene descriptions, spoken questions, remote video support, forward alerts, navigation and everyday recognition.
- Recognition categories shown
- Optical character recognition (OCR) for visible printed text, common objects, selected currency and familiar people.
- Quantitative hardware data not stated
- Camera resolution, dimensions, weight, battery capacity, runtime, charging details and obstacle-sensor performance.
- Platform and compliance data not stated
- Operating system, processor, memory, storage, wireless protocols, environmental rating, certifications and market authorization.
Source and naming note: the supplied reference sheet labels the pictured system “Zhiyin” in Chinese; this website uses Confidant as the product name. Confirm final naming, architecture, accessories, claims and evidence in the approved quotation, datasheet and BOM.
Buyer FAQ
Confidant project questions
Use these answers as a public product-sheet summary. Project documents remain authoritative for the final configuration and acceptance criteria.
What components are shown in the Confidant system?
The supplied sheet shows smart glasses with a front camera and two front-facing obstacle sensors, plus a GPS module or antenna and a handheld controller. Final wiring, accessories and package contents require quotation and BOM confirmation.
What assistive functions does the supplied sheet present?
It presents optical character recognition (OCR) for visible printed text, scene descriptions and spoken questions, remote video assistance, forward obstacle alerts, map-based route prompts, common-object and selected-currency recognition, and optional recognition of enrolled contacts. Performance depends on the final configuration and operating conditions.
Does Confidant support OCR for printed text?
Yes. The supplied product sheet presents camera-based recognition of visible printed text with spoken output. Supported languages, handwriting, screen text, minimum text size, offline availability, latency and accuracy are not published and must be validated for the final project configuration.
Can Confidant replace a white cane, guide dog or mobility training?
No. Confidant provides supplemental assistive information and must not be used as the sole navigation or safety aid. It does not replace a white cane, guide dog, orientation-and-mobility training, environmental awareness or user judgment.
How should familiar-person recognition be deployed?
Treat it as an optional workflow limited to explicitly enrolled contacts. Obtain informed consent, define data retention and deletion, restrict access, secure biometric data and confirm applicable privacy law before deployment.
Which Confidant specifications still require confirmation?
The supplied sheet does not state camera resolution, product weight, dimensions, battery capacity, runtime, charging details, operating system, processor, memory, storage, wireless protocols, environmental rating or certifications. Confirm these in the approved quotation, datasheet and verification evidence.
Define the OCR and assistive workflow before selecting the configuration.
Share the target users, regions, OCR languages and document types, navigation service, recognition categories, connectivity environment, privacy requirements, safety validation plan and expected order volume. SmartXY can then confirm the feasible architecture and evidence package.