Real-Time Scene Recognition
A short spoken summary of the space ahead — people, doors, seating, stairs, traffic state and free paths — refreshed on demand or continuously.
Sprhava AI-powered spectacles turn live camera input into clear spoken guidance — reading, recognising and warning in real time, hands free.
Sprhava is a wearable AI vision aid built for people living with blindness, low vision, macular degeneration, glaucoma or diabetic retinopathy. The frame looks like everyday eyewear — the intelligence sits inside the temples.
Instead of a bulky headset or a phone held at arm's length, wearers simply look and listen. A dual-camera module reads the scene, compact vision models interpret it, and a natural voice explains what matters — in under half a second.
Each mode was prioritised from field interviews with more than 400 blind and low-vision users across daily-living, workplace and mobility tasks.
A short spoken summary of the space ahead — people, doors, seating, stairs, traffic state and free paths — refreshed on demand or continuously.
Instant OCR for letters, menus, labels, packaging, screens and handwriting, with automatic language detection and adjustable reading pace.
Depth-aware alerts for kerbs, poles, glass doors, head-height hazards and step-downs, announced by direction and distance as an O&M supplement.
Find the right can, sort medication packs, match clothing colours or locate a dropped key — trained on 12,000+ household and retail items.
Optional recognition of names the wearer has saved, plus a discreet cue when someone is facing or speaking to them.
Conversational follow-ups — "Which queue is shorter?", "What is the expiry date?" — answered from the current field of view.
An engineering pipeline tuned for latency, battery life and speech clarity — the three variables that decide whether an assistive wearable is actually used every day.
Dual 12 MP wide-angle sensors with HDR and low-light gain follow the wearer's natural head direction — no aiming required.
An embedded NPU runs quantised detection, depth and OCR models locally; complex scene reasoning escalates to an encrypted cloud model.
A relevance filter suppresses noise and speaks only what changes the wearer's next decision — safety first, then task, then context.
Bone-conduction transducers deliver clear speech while ears stay open to traffic and conversation, with haptic cues for urgent alerts.
| Frame weight | 42 g, titanium-reinforced temples |
|---|---|
| Cameras | 2 × 12 MP wide-angle, HDR, low-light mode |
| Processing | Edge NPU + optional secure cloud inference |
| Audio | Open-ear bone conduction, dual beamforming mics |
| Response time | ≈0.4 s scene summary, ≈0.6 s full-page OCR |
| Battery | Up to 9 h mixed use; USB-C fast charge |
| Connectivity | Wi-Fi 6, Bluetooth 5.3, iOS & Android companion |
| Languages | 22 output voices, 40+ OCR scripts |
| Lenses | Prescription-ready, contrast filter options |
| Compliance | CE, FCC, RoHS, REACH documentation on file |
Assistive wearables are abandoned for three reasons: weight, heat and chatter. Sprhava attacks all three. Thermal mass is distributed along both temples, keeping surface temperature under 39 °C in continuous scene mode, while a relevance engine cuts spoken output by roughly 60% compared with raw model narration.
Firmware updates arrive over the air with a staged rollback path, so clinics and distributors can validate a build before it reaches every unit in the field.
What our clinical partners report most often is not a dramatic transformation — it is the return of ordinary tasks people had quietly given up.
Sorting mail, reading dosage instructions, checking appliance displays and confirming expiry dates without waiting for help.
Finding entrances, bus numbers, platform signs and empty seats; early warning for head-height and glass hazards.
Reading printed handouts, whiteboards and badge names — a practical accommodation for employers and universities.
Used inside low-vision therapy programmes as a graded training tool alongside magnifiers and O&M instruction.
Sprhava works with assistive-technology distributors, low-vision clinics, rehabilitation centres, disability-service tenders and OEM partners.
Volume pricing tiers, tender documentation, product data sheets, HS codes and lead-time commitments for public procurement cycles.
Custom frame colourways, branded packaging, localised voice sets and white-label companion apps from moderate MOQs.
Demo kits, clinician onboarding sessions, fitting protocols and printable user guides in large print and braille-ready files.
Regional RMA handling, spare-part kits, 24-month limited warranty and firmware maintenance roadmap.
CE, FCC, RoHS and REACH files, battery UN38.3 test reports, MSDS and declaration of conformity supplied per shipment.
Voice output in 22 languages, OCR across 40+ scripts, and region-specific signage and currency models.
Feedback gathered during structured trials with rehabilitation partners in Europe, Southeast Asia and North America.
"The difference for our clients is latency. When a description arrives fast enough to act on, the device becomes part of mobility practice rather than a demonstration piece."
"I read my own post again. That sounds small. It isn't. I stopped asking my daughter to open my letters for me."
"Open-ear audio was the deciding factor for our clinic. Clients keep full environmental hearing, which our therapists insist on."
Straight answers on capability limits, connectivity, safety and partner support.
Technical explainers, comparison guides and buyer resources across the visual assistive technology category.
Speak with our product team about clinical evaluation units, distribution territories or OEM programmes for Sprhava AI-powered spectacles.
Contact Sprhava