MAX20335

• Monitors the health and vitality of livestock in real-time, enabling farmers to quickly treat animals and prevent the spread of illness or disease.
• Tracks grazing animals to prevent loss and to identify grazing patterns.
• Gathers and analyzes historical data to identify trends in cattle health or to track the spread of illness.
• Monitors readiness to mate or give birth, preventing the loss of new calves and optimizing breeding practices.

The EV-CATTLETAG-ARDZ is an Arduino board with a fully integrated solution for harvesting energy from single-/multi-cell solar sources. The device includes battery chargers for small lithium-ion systems, and a digital temperature sensor for applications such as Wearables and IoT. The board has an on-board MAX20335 BMS device, a MAX30210 temperature sensor, and a buzzer with a vibration motor option.

APPLICATIONS

• Asset location
• Asset recovery
• Asset traceability
• Inventory management

• USB Power Option
• Flexible Configuration
• On-Board LED Indicator and Battery Simulation
• Sense Test Point for Output-Voltage Measurement
• Windows^® 8/10-Compatible GUI Software
• Fully Assembled and Tested

The MAX20335 evaluation system (EV system) is a fully assembled and tested circuit board that demonstrates the MAX20335 low-power wearable power management integrated circuit (PMIC). The MAX20335 features two bucks, three linear regulators, and a battery charger.

The EV system comes with the MAX20335 board, the MAXPICO2PMB# board, and two USB micro-B cables. The EV system comes with the MAX20335BEWX+ installed. The MAX20335 is configurable through an I2C interface that allows for programming various functions and reading the device status. The EV system GUI application sends commands to the MAXPICO2PMB# adapter board to configure the device.

Applications

• Fitness Monitors
• Rechargeable IoT devices
• Wearable Electronics

• RoHS Compliant
• Proven PCB Layout
• Full Assembled and Tested
• I²C Serial Interface

The MAX20335 evaluation kit (EV kit) is a fully assembled and tested circuit for evaluating the MAX20335 wearable charge-management solution with I²C capability for low-power wearable application. The device includes a linear battery charger, smart power selector, two ultra-low quiescent current buck regulators, and three low-dropout (LDO) linear regulators.

Refer to the MAX20335 IC data sheet for detailed information regarding the operation and features of the devices.

Applications

• Fitness Monitors
• Rechargeable IoT devices
• Wearable Electronics

The MEMS-based Wireless Vibration Monitoring Platform is a complete evaluation solution that includes:

• Intelligent, smarter, and secure decisions at the EDGE
• Decision making at the edge reduces network overhead and improves battery life
• Mechanical mounting and measurement capability up to 8 kHz bandwidth
• 3-axis ultra-low power, ultra-low noise MEMS accelerometer technology
• Ultra-low power microcontroller and robust low power Bluetooth Low Energy (BLE) technology

It enables users to:

• Develop and deploy artificial intelligence at the EDGE
• Rapidly deploy a wireless solution to a machine or test setup
• Evaluate ADI MEMS sensor technology for vibration monitoring
• Evaluate ADI BLE technology for industrial wireless sensing
• Accelerate asset monitoring and solution development
• Evaluate and develop EDGE AI solutions for industrial condition-based monitoring

Voyager 4 uses triaxial digital out MEMS sensors including the ADXL382 and ADXL367. The design also includes the MAX32666 BLE and MAX78000 AI microcontrollers. Flexible and PCB area efficient PMIC power devices have been added as load switches for enhanced wireless sensor power savings. A BLE 5.3 Adapter with Antenna is included in every Voyager4 kit. Voyager4 uses BLE which makes it compatible with any PC with a Bluetooth Radio, but to ensure optimal performance and range, using the adapter when communicating with Voyager4 is recommended.

The solution operates in two modes:

Data Collection/Streaming mode – In this mode, the data is sent to the Host PC for AI model development.

Normal Operation/AI mode – In this mode, the anomaly alert is sent to the Host PC and user can decide to gather more ADXL382 data.