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Cloud Compatible

Portenta H7 Lite Connected

SKU ABX00046 Barcode 7630049202511 Show more
Original price €0
Original price €107,69 - Original price €107,69
Original price
Current price €107,69
€107,69 - €107,69
Current price €107,69
VAT included

Choose the best of two worlds: powerful, cost-effective, and ready to connect.

Overview

The Portenta H7 Lite Connected is designed to provide the computational power of the Portenta H7 for AI applications and low-latency control solutions, with a module that is made more cost-effective by removing the high-resolution video interface feature.

It fills the gap between the full H7 and the H7 Lite versions by integrating wireless connectivity, adding yet another option for Arduino Pro clients to build the perfect solution with the right combination of performance and simplicity.

The Portenta H7 Lite Connected simultaneously runs high-level code and real-time tasks thanks to its two processors. For example, it can execute Arduino-compiled and MicroPython code at the same time, and have the two cores communicate via a Remote Procedure Call mechanism that allows calling functions on the other processor seamlessly for real multitasking. Your machine learning algorithms can now run simultaneously alongside low latency sensor/actuator interaction.
 

Key benefits include:
  • Dual Core - Two best-in-class processors in one, running parallel tasks
  • AI on the edge - So powerful it can run AI state machines
  • Onboard wireless module - Simultaneously manage WiFi and Bluetooth® connectivity
  • High-level programming language support (Micropython)
  • Security - Onboard secure element for certificates storage and management

The Portenta H7 Lite Connected offers twofold functionality: it can run either like any other embedded microcontroller board, or as the main processor of an embedded computer. 

For example, use the Portenta Vision Shield to transform your H7 Lite Connected into an industrial camera capable of performing real-time machine learning algorithms on live video feeds. As the H7 Lite Connected can easily run processes created with TensorFlow™ Lite, you could have one of the cores computing a computer vision algorithm on the fly, while the other carries out low-level operations like controlling a motor or acting as a user interface. 

Portenta is the go-to family when performance is key, and the H7 Lite Connected is no exception. We can already envision it as part of a wide range of solutions, including: 

  • High-end industrial machinery
  • Laboratory equipment
  • Computer vision
  • PLCs
  • Robotics controllers
  • Mission-critical devices
  • High-speed booting computation (ms)
Two Parallel Cores

The Portenta H7 Lite Connected’s main processor is the STM32H747 dual core including a Cortex® M7 running at 480 MHz and a Cortex® M4 running at 240 MHz. The two cores communicate via a Remote Procedure Call mechanism that allows calling functions on the other processor seamlessly. Both processors share all the in-chip peripherals and can run: 

  • Arduino sketches on top of the Arm® Mbed™ OS
  • Native Mbed™ applications
  • MicroPython / JavaScript via an interpreter
  • TensorFlow™ Lite
A New Standard for Pinouts

The Portenta family adds two 80-pin high-density connectors at the bottom of the module. This ensures scalability for a wide range of applications: simply upgrade your Portenta to the one suiting your needs.

USB-C® Multipurpose Connector

The module’s programming connector is a USB-C port that can also be used for power, as a USB Hub, or to deliver power to OTG connected devices.

Arduino IoT Cloud Compatible

Use your MKR board on Arduino's IoT Cloud, a simple and fast way to ensure secure communication for all of your connected Things.

TRY THE ARDUINO IOT CLOUD FOR FREE

Need Help?

Check the Arduino Forum for questions about the Arduino Language, or how to make your own Projects with Arduino. If you need any help, please get in touch with the official Arduino User Support as explained in our Contact Us page.

Warranty

You can find your warranty information here.


Tech specs

Microcontroller

STM32H747XI dual Cortex®-M7+M4 32bit low power Arm® MCU (datasheet)

CONNECTIVITY

Ethernet, WiFi, Bluetooth® Low Energy

Secure Element (default)

Microchip ATECC608

Power Supply (USB/VIN)

5V

Supported Battery

Li-Po Single Cell, 3.7V, 700mAh Minimum (integrated charger)

Circuit Operating Voltage

3.3V

Current Consumption

2.95 μA in Standby mode (Backup SRAM OFF, RTC/LSE ON)

Timers

22x timers and watchdogs

UART

4x ports (2 with flow control)

Ethernet PHY

10 / 100 Mbps (through expansion port only)

SD Card

Interface for SD Card connector (through expansion port only)

Operational Temperature

-40 °C to +85 °C

MKR Headers

Use any of the existing industrial MKR shields on it

High-density Connectors

Two 80 pin connectors will expose all of the module's peripherals to other devices

Camera Interface

8-bit, up to 80 MHz

ADC

3× ADCs with 16-bit max. resolution (up to 36 channels, up to 3.6 MSPS)

DAC

2× 12-bit DAC (1 MHz) available, only one is accessible by the user through the external A6 pin

USB-C

Host / Device, High / Full Speed, Power delivery

Conformities

The following Declarations of Conformities have been granted for this board:
RCM
CE
UKCA
REACH
For any further information about our certifications please visit docs.arduino.cc/certifications

Resources for Safety and Products

Manufacturer Information

The production information includes the address and related details of the product manufacturer.

Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
https://www.arduino.cc/ 

Responsible Person in the EU

An EU-based economic operator who ensures the product's compliance with the required regulations.

Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
Phone: +39 0113157477
Email: support@arduino.cc

 

Get Inspired

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For children who experience certain developmental delays, specific types of physical therapies are often employed to assist them in improving their balance and motor skills/coordination. Ivan Hernandez, Juan Diego Zambrano, and Abdelrahman Farag were looking for a way to quantify the progress patients make while simultaneously presenting a gamified approach, so they developed a standalone node for equilibrium evaluation that could do both. On the hardware side of things, an Arduino Nano BLE 33 Sense Rev2 is responsible for handling all of the incoming motion data from its onboard BMI270 six-axis IMU and BMM150 three-axis magnetometer. New readings are constantly taken, filtered, and fused together before being sent to an external device over Bluetooth Low Energy. The board was also connected to a buzzer and buttons for user inputs, as well as an RGB LED to get a real-time status. The patient begins the session by first putting on the wearable and connecting to the accompanying therapist application. Next, a game starts in which the user must move their torso to guide an image of a shark over the image of a stationary fish within a time period — ultimately trying to get the highest score possible. Throughout all of this, a vision system synchronizes its readings with the IMU sensor readings for an ultra-detailed look at how the patient responds to the game over time. To read more about the project, you can visit the team's write-up on Hackaday.io.

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