Microwear Watch Ai 5
AI-powered smartwatch with advanced health tracking and a vivid AMOLED-like display. Built for fitness buyers and B2B white-label partners.
Available Colors
B2B Wholesale Information
MOQ
200 pcs
Pricing
Contact for factory quote
Lead Time
15-25 days
Certifications
CE, FCC, RoHS, ISO9001
Key Highlights
- IP68 Waterproof
- Heart Rate Monitor
- SpO2
- Sleep Tracking
Why this is perfect for [目标客户]?
一段英文说明，解释这款产品适合谁、为什么适合。
Product Specifications
| Processor | Dual-core 192MHz |
| Display | 2.0, AMOLED, 410x502 pixels, Always-On Display |
| Battery | 300mAh, up to 5 days typical use |
| Waterproof Rating | IP68 |
| Certification | CE, FCC, RoHS |
| Materials | Zinc alloy + Silicone |
| Dimensions | 46 x 40 x 10 mm |
| Connectivity | Bluetooth 5.3, GPS |
Why This Model?
- MOQ 200pcs
- 7-day samples
- Custom logo available
Technical Support & Enterprise FAQ
SDK & Development
Q: Does Microwear support SDK for custom app development?
A: Yes. For qualified OEM partners, Microwear (NJY Tech) provides access to our BLE SDK. This allows your development team to build custom Android/iOS applications that interact directly with our devices (e.g., retrieving heart rate data from the Ultra 5X, or syncing voice data from W Ai 4 glasses). We currently support data integration with the MActivePro and HeyCyan ecosystem. Please contact our engineering team for the API documentation.
AI Privacy & Enterprise
Q: How does the W Ai 4 handle voice data privacy? Can we use our own server?
A: Privacy is our priority. The W Ai 4 acts as a hardware interface. By default, it connects to standard large models (like ChatGPT/Tongyi) via the paired smartphone app. For large-scale enterprise orders, we support Server-Side Customization, allowing you to route voice queries to your own private cloud or proprietary LLM, ensuring data sovereignty for your brand.
Hardware & Algorithms
Q: Why do you use the Sony IMX219 sensor for the W AI 3 glasses?
A: While many competitors use generic 2MP sensors, we chose the Sony IMX219 (8MP) specifically for its compatibility with our EIS (Electronic Image Stabilization) neural-network algorithm. This ensures that first-person video recordings remain stable and clear even while the user is walking or moving, which is critical for live-streaming and content creation use cases.