Search results for "m5stack"

The M5Stack Proto Board is used as a Core Extensions feature. Suitable with Arduino and ESP32.

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ATOM U is a compact low-power consumption speech recognition IoT development kit. It adopts an ESP32 chipset, equipped with 2 low-power Xtensa 32-bit LX6 microprocessors with the main frequency of up to 240 MHz. Built-in USB-A interface, IR emitter, programmable RGB LED. Plug-and-play, easy to upload and download programs. Integrated Wi-Fi and digital microphone SPM1423 (I2S) for the clear sound record. suitable for HMI, Speech-to-Text (STT). Low-code development ATOM U supports UIFlow graphical programming platform, scripting-free, cloud push; Fully compatible with Arduino, MicroPython, ESP32-IDF, and other mainstream development platforms, to quickly build various applications. High integration ATOM U contains a USB-A port for programming/power supply, IR emitter, programmable RGB LED x1, button x1; Finely tuned RF circuit, providing stable and reliable wireless communication. Strong expandability ATOM U is easy access to M5Stack's hardware and software system. Features ESP32-PICO-D4 (2.4GHz Wi-Fi dual mode) Integrated programmable RGB LED and button Compact design Built-in IR emitter Expandable pinout and GROVE port Development platform: UIFlow MicroPython Arduino Specifications ESP32-PICO-D4 240MHz dual core, 600 DMIPS, 520KB SRAM, 2.4G Wi-Fi Microphone SPM1423 Microphone sensitivity 94 dB SPL@1 KHz Typical value: -22 dBFS Microphone signal-to-noise ratio 94 dB SPL@1 KHz, A-weighted Typical value: 61.4 dB Standby working current 40.4 mA Support input sound frequency 100 Hz ~ 10 KHz Support PDM clock frequency 1.0 ~ 3.25 MHz Weight 8.4 g Product size 52 x 20 x 10 mm Downloads Documentation

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The M5Stack Core Ink Development Kit is a new E-Ink display that uses an ESP32-Pico-D4 to take advantage of the benefits of the E-Ink technology. E-Ink displays are easier on the eyes, have extremely low power consumption and can retain an image even after they have run out of power. Features ESP32 Standard wireless functions WiFi, Bluetooth Internal 4M Flash Low Power Display 180-degree viewing angle Expansion ports Built-in Magnet Internal Battery Multi-function button Status LED Buzzer Deep Sleep functionality Applications IoT Terminal E-Book Industrial Control Panel Electronic Tag Included 1x CoreInk 1x LiPo 390 mAh 1x Type-C USB(20cm) Please note: avoid long-time high-frequency refresh when using it. The recommended refresh interval is (15s/time). Do not expose to ultraviolet rays for a long time, otherwise, it may cause irreversible damage to the ink screen.

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M5Stamp Fly is a programmable open-source quadcopter, featuring the StampS3 as the main controller. It integrates a BMI270 6-axis gyroscope and a BMM150 3-axis magnetometer for attitude and direction detection. The BMP280 barometric pressure sensor and two VL53L3 distance sensors enable precise altitude hold and obstacle avoidance. The PMW3901MB-TXQT optical flow sensor provides displacement detection. The kit includes a buzzer, a reset button, and WS2812 RGB LEDs for interaction and status indication. It is equipped with a 300 mAh high-voltage battery and four high-speed coreless motors. The PCB features an INA3221AIRGVR for real-time current/voltage monitoring and has two Grove connectors for additional sensors and peripherals. Preloaded with debugging firmware, the Stamp Fly can be controlled using an Atom Joystick via the ESP-NOW protocol. Users can choose between automatic and manual modes, allowing for easy implementation of functions like precise hovering and flips. The firmware source code is open-source, making the product suitable for education, research, and various drone development projects. Applications Education Research Drone development DIY projects Features M5StampS3 as the main controller BMP280 for barometric pressure detection VL53L3 distance sensors for altitude hold and obstacle avoidance 6-axis attitude sensor 3-axis magnetometer for direction detection Optical flow detection for hovering and displacement detection Buzzer 300 mAh high-voltage battery Current and voltage detection Grove connector expansion Specifications M5StampS3 ESP32-S3@Xtensa LX7, 8 MB Flash, WiFi, OTG\CDC support Motor 716-17600kv Distance Sensor VL53L3CXV0DH/1 (0x52) @ max 3 m Optical Flow Sensor PMW3901MB-TXQT Barometric Sensor BMP280 (0x76) @ 300-1100hPa 3-axis Magnetometer BMM150 (0x10) 6-axis IMU Sensor BMI270 Grove I²C+UART Battery 300mAh 1S high-voltage lithium battery Current/Voltage Detection INA3221AIRGVR (0x40) Buzzer Built-in Passive Buzzer @ 5020 Operating temperature 0-40°C Dimensions 81.5 x 81.5 x 31 mm Weight 36.8 g Included 1x Stamp Fly 1x 300 mAh high-voltage Lithium battery Downloads Documentation

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OV7740 is a AI Camera powered by Kendryte K210, an edge computing system-on-chip(SoC) with a dual-core 64bit RISC-V CPU and state-of-art neural network processor. Features Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal) Dual Independent Double Precision FPU 8MiB 64bit width On-Chip SRAM Neural Network Processor(KPU) / 0.8Tops Field-Programmable IO Array (FPIOA) AES, SHA256 Accelerator Direct Memory Access Controller (DMAC) Micropython Support Firmware encryption support On-board Hardware: Flash: 16M Camera :OV7740 2x Buttons Status Indicator LED External storage: TF card/Micro SD Interface: HY2.0/compatible GROVE Applications Face recognition/detection Object detection/classification Obtain the size and coordinates of the target in real-time Obtain the type of detected target in real-time Shape recognition Video recorder Included 1x UNIT-V(include 20cm 4P cable and USB-C cable)

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Accelerating IoT Innovation A Color E-Ink Wi-Fi Picture Frame ESP-Launchpad TutorialFrom Zero to Flashing in Minutes ESP32 and ChatGPTOn the Way to a Self-Programming System… Walkie-Talkie with ESP-NOWNot Quite Wi-Fi, Not Quite Bluetooth! From Idea to Circuit with the ESP32-S3A Guide to Prototyping with Espressif Chips AIoT Chip InnovationAn Interview With Espressif CEO Teo Swee-Ann Simulate ESP32 with WokwiYour Project’s Virtual Twin Trying Out the ESP32-S3-BOX-3A Comprehensive AIoT Development Platform Electronics Workspace EssentialsInsights and Tips From Espressif Engineers The ESP RainMaker StoryHow We Built “Your” IoT Cloud Assembling the Elektor Cloc 2.0 KitAn Elektor Product Unboxed by Espressif Unleashing the ESP32-P4The Next Era of Microcontrollers Rust + EmbeddedA Development Power Duo Who Are the Rust-Dacious Embedded Developers?How Espressif is Cultivating Embedded Rust for the ESP32 Espressif’s Series of SoCs Building a PLC with Espressif SolutionsWith the Capabilities and Functionality of the ISOBUS Protocol The ESP32-S3 VGA BoardBitluni’s Exciting Journey Into Product Design Acoustic Fingerprinting on ESP32Song Recognition With Open-Source Project Olaf Circular Christmas Tree 2023A High-Tech Way to Celebrate the Holiday Season A Simpler and More Convenient LifeAn Amateur Project Based on the Espressif ESP8266 Module How to Build IoT Apps without Software ExpertiseWith Blynk IoT Platform and Espressif Hardware Building a Smart User Interface on ESP32 Quick & Easy IoT Development with M5Stack Prototyping an ESP32-Based Energy Meter A Value-Added Distributor for IoT and More In-Depth Insights: Interview With Arduino on the Nano ESP32Alessandro Ranellucci and Martino Facchin Discuss Espressif Collaboration Your AIoT Solution ProviderInsights From Espressif Streamlining MCU Development With ESP-IDF Privilege Separation An Open-Source Speech Recognition Server……and the ESP BOX The Thinking EyeFacial Recognition and More Using the ESP32-S3-EYE ESP32-C2-Based Coin Cell SwitchDesign and Performance Evaluation The Smart Home Leaps Forward with MatterUnlocking Smart Home IoT Potential Tech the Future: Where Is Smart Home IoT Headed?

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