WT12-A-AI

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WT12-A-AI

RF TXRX MOD BLUETOOTH CHIP SMD

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Spécifications

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

Vue d'ensemble

Description

WT12-A-AI is a guideline developed by the Clinical and Laboratory Standards Institute (CLSI) focused on the use of artificial intelligence (AI) in clinical laboratory settings. The document addresses the integration of AI technologies into laboratory processes, emphasizing the need for robust validation, quality control, and regulatory compliance.
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

The WT12-A-AI is a compact, powerful AI development platform designed for various applications, including robotics, automation, and edge computing. Key features include:
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

The WT12-A-AI is packaged in a compact, surface-mount design known as a module. It typically features dimensions of approximately 25mm x 15mm and is designed for easy integration into various electronic devices for Bluetooth communication.

Pinout

The WT12-A-AI is a Bluetooth module with a pin count of 16 pins. Each pin serves specific functions essential for its operation:
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

The WT12-A-AI is manufactured by WTW, a company known for its expertise in water quality measurement and analysis. WTW is a part of the Xylem group, which specializes in water technology and solutions. The company focuses on providing high-quality instruments for measuring various parameters in water, including pH, conductivity, dissolved oxygen, and turbidity. WTW serves a range of industries, including environmental monitoring, water treatment, and laboratory analysis, emphasizing innovation and precision in water testing technologies.

Application

The WT12-A-AI is a wireless module primarily used in applications such as IoT devices, smart home automation, industrial automation, connected health devices, and wearables. Its compact size and low power consumption make it ideal for real-time data transmission, remote monitoring, and control in various sectors, including agriculture, smart cities, and automotive systems.

Equivalent

The WT12-A-AI chip, a Wi-Fi module from WITTY, has several equivalent products including the ESP8266, ESP32, and the RN-171 module. These alternatives offer similar functionalities for Wi-Fi connectivity in IoT applications. Depending on the specific requirements, you may also consider the ATWINC1510 or the WizFi310 as comparable options.

Expédition

Méthodes d'expéditionNous

offrir des services d'expédition mondiaux par DHL, FedEx, TNT, UPS ou tout autre expéditeur de votre choix.


Référence des frais d'expédition (DHL/FedEx):

DHL: Les frais d'expédition vont de 25 à 45 $ (0,5 kg), avec un délai de livraison estimé de 2 à 5 jours ouvrables.

FedEx: Les frais d'expédition varient de 25 à 40 $ (0,5 kg), avec un délai de livraison estimé de 3 à 7 jours ouvrables.

UPS: Les frais d'expédition vont de 25 à 45 $ (0,5 kg), avec un délai de livraison estimé de 3 à 7 jours ouvrables.

TNT: Les frais d'expédition varient de 25 à 65 $ (0,5 kg), avec un délai de livraison estimé de 3 à 7 jours ouvrables.

EMS: Les frais d'expédition varient de 30 à 50 $ (0,5 kg), avec un délai de livraison estimé de 7 à 15 jours ouvrables.

Courrier aérien enregistré: Le coût d'expédition est de 2 à 4 $ (0,1 kg), avec un délai de livraison estimé de 5 à 20 jours ouvrables.

Paiements

Payment Methods

Le terme de paiement est 100% prépayé.

Actuellement, nous n'acceptons que les méthodes de paiement ci-dessous:

1. PayPal

2. Carte de crédit/débit

3. Transfert bancaire