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WT12-A-AI
RF TXRX MOD BLUETOOTH CHIP SMD
- Hersteller
- Fr. Teil #WT12-A-AI
- Paket
- Datenblatt WT12-A-AI DataSheet
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Spezifikationen
| Part Status | Obsolete |
| RF Family/Standard | Bluetooth |
| Protocol | Bluetooth v2.1 +EDR, Class 2 |
| Modulation | DQPSK, GFSK |
| Frequency | 2.4GHz |
| Data Rate | 3Mbps |
| Power - Output | 3dB |
| Sensitivity | -86dBm |
| Serial Interfaces | PIO, SPI, UART, USB |
| Antenna Type | Integrated, Chip |
| Utilized IC / Part | BlueCore4 |
| Memory Size | 8MB Flash |
| Voltage - Supply | 3.1V ~ 3.6V |
| Current - Receiving | 70mA |
| Current - Transmitting | 70mA |
| Mounting Type | Surface Mount |
| Operating Temperature | -40°C ~ 85°C |
| Package / Case | Module |
| Base Product Number | WT12 |
| DigiKey Programmable | Not Verified |
Übersicht
Description
Key points include:
1. AI Applications: The guideline outlines various applications of AI in laboratory diagnostics, such as data analysis, pattern recognition, and predictive modeling.
2. Validation Protocols: It stresses the importance of rigorous validation protocols to ensure that AI tools are reliable and produce accurate results.
3. Quality Assurance: Continuous monitoring and quality assurance practices are essential to maintain the integrity of AI systems in laboratory environments.
4. Ethical Considerations: The document also highlights ethical considerations surrounding data privacy and the potential biases in AI algorithms.
Overall, WT12-A-AI serves as a framework to guide laboratories in the safe and effective implementation of AI technologies, ensuring high standards of patient care and diagnostic accuracy.
Features
1. High Performance: Equipped with a robust processor and GPU for efficient handling of AI workloads, enabling real-time data processing and analysis.
2. Versatile Connectivity: Supports multiple communication interfaces, such as Wi-Fi, Bluetooth, and Ethernet, facilitating easy integration into IoT ecosystems.
3. Expandable Architecture: Offers GPIO, USB, and other ports for connecting sensors and peripherals, allowing for tailored application development.
4. AI Framework Support: Compatible with popular AI frameworks like TensorFlow and PyTorch, making it accessible for developers to implement machine learning models.
5. Power Efficiency: Optimized for low power consumption, making it suitable for battery-operated devices and prolonged operation.
6. User-Friendly Development Environment: Provides a software development kit (SDK) and extensive documentation to streamline application development.
These features make the WT12-A-AI an ideal choice for developers looking to create intelligent applications seamlessly.
Package
Pinout
1. VCC (Power supply)
2. GND (Ground)
3. TXD (UART Transmit)
4. RXD (UART Receive)
5. RTS (Request to Send)
6. CTS (Clear to Send)
7. DTR (Data Terminal Ready)
8. DSR (Data Set Ready)
9. DCD (Data Carrier Detect)
10. RI (Ring Indicator)
11. GPIO0 (General Purpose I/O)
12. GPIO1 (General Purpose I/O)
13. GPIO2 (General Purpose I/O)
14. GPIO3 (General Purpose I/O)
15. PWM (Pulse Width Modulation)
16. RESET (Reset)
These pins facilitate communication, control, and power management for applications utilizing Bluetooth connectivity.
Manufacturer
Application
Equivalent
Versand
VersandmethodenWir
bieten Sie globale Versanddienstleistungen durch DHL, FedEx, TNT, UPS oder einen anderen Spediteur Ihrer Wahl.
Versandgebührenreferenz (DHL/FedEx):
DHL: Versandkosten reichen von $25-$45 (0.5kg), mit einer geschätzten Lieferzeit von 2-5 Werktagen.
von FedEx: Versandkosten reichen von $25-$40 (0.5kg), mit einer geschätzten Lieferzeit von 3-7 Werktagen.
UPS: Versandkosten reichen von $25-$45 (0.5kg), mit einer geschätzten Lieferzeit von 3-7 Werktagen.
TNT: Versandkosten reichen von $25-$65 (0.5kg), mit einer geschätzten Lieferzeit von 3-7 Werktagen.
EMS: Versandkosten reichen von $30-$50 (0.5kg), mit einer geschätzten Lieferzeit von 7-15 Werktagen.
Registrierte Luftpost: Versandkosten sind $ 2- $ 4 (0,1 kg), mit einer geschätzten Lieferzeit von 5-20 Werktagen.
Zahlungen
Payment Methods
Die Zahlungsfrist ist 100% Prepaid.
Derzeit akzeptieren wir nur die folgenden Zahlungsmethoden:
1. PayPal
2. Kredit- / Debitkarte
3. Überweisung
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