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Tokay Lite – A battery-powered no-code AI camera based on ESP32-S3 WiSoC (Crowdfunding)

Tokay Lite ESP32-S3 no-code AI camera

Maxlab’s Tokay Lite is an OHSWA-certified AI camera based on ESP32-S3 WiFI and Bluetooth SoC that can be used for computer vision (e.g. facial recognition & detection) and robotics applications without the need to know programming languages since a web interface is used for configuration. The WiFi and Bluetooth AI camera also features night vision with four IR LEDs, an IR cut filter, light and PIR motion sensors, a 20-pin expansion connector with SPI and UART, support for an external RTC, and can take power from USB-C or a LiPo battery. Tokay Lite specifications: Wireless module ESP32-S3-WROOM-1 MCU – ESP32-S3 dual-core LX7 microprocessor @ up to 240 MHz with Vector extension for machine learning, 512 KB SRAM Memory – 8MB PSRAM Storage – 8MB SPI flash Connectivity – WiFi 4 and Bluetooth 5 with LE/Mesh PCB antenna Certifications – FCC/CE certification Camera OV2640 camera sensor (replaceable) via DVP interface Image Capabilities: […]

Sparkfun launches cheaper no-code “DataLogger IoT” board compatible with Qwiic modules

Sparkfun DataLogger IoT

Last May, SparkFun introduced the “Datalogger IoT – 9DoF” no-code platform with support for over 50 Qwiic sensor modules and a built-in 9-axis IMU sensor and magnetometer. Taking into consideration that some users may not make use of the built-in sensors, the company decided to launch a cheaper version called the “DataLogger IoT” that can still get data from Qwiic sensor and GPS modules without any programming thanks to the “no-code” Arduino firmware preloaded on the ESP32-WROOM-32E module. SparkFun DataLogger IoT specifications: Wireless module – ESP32-WROOM-32E with: ESP32 dual-core microcontroller 4MB flash 2.4 GHz WiFi and Bluetooth LE connectivity, built-in PCB antenna Storage – MicroSD card slot USB – 1x USB Type-C port for power and configuration via CH340C Expansion – 2x Qwicc I2C connectors for sensors and/or GPS module Misc Boot and Reset buttons Status and charging LED, WS2812 RGB LED Jumpers to enable/disable LEDs, I2C pull-up resistors, and […]

MediaPipe for Raspberry Pi released – No-code/low-code on-device machine learning solutions

MediaPipe Studio Raspberry Pi 4

Google has just released MediaPipe Solutions for no-code/low-code on-device machine learning for the Raspberry Pi (and an iOS SDK) following the official release in May for Android, web, and Python, but it’s been years in the making as we first wrote about the MediaPipe project back in December 2019. The Raspberry Pi port is an update to the Python SDK and supports audio classification, face landmark detection, object detection, and various natural language processing tasks. MediaPipe Solutions consists of three components: MediaPipe Tasks (low-code) to create and deploy custom end-to-end ML solution pipelines using cross-platform APIs and libraries MediaPipe Model Maker (low-code) to create custom ML models MediaPipe Studio (no-code) webpage to create, evaluate, debug, benchmark, prototype, and deploy production-level solutions. You can try it out directly in your web browser at least on PC and I could quickly test the object detection on Ubuntu 22.04. MediaPipe Tasks can be […]

SparkFun “Datalogger IoT – 9DoF” no code platform supports over 50 Qwiic sensor modules

SparkFun Datalogger IoT - 9DoF

SparkFun “DataLogger IoT – 9DOF” is an ESP32-based data logger board that transfers data to a microSD card or wirelessly to the cloud and comes with firmware that can automatically detect over 50 Qwiic modules without any programming required from the user making it a so-called “no code platform“. The board comes with a 9-axis IMU sensor + magnetometer, and two Qwiic connectors, and the data is stored in CSV or JSON formats on a microSD card or sent to IoT cloud platforms such as Amazon AWS IoT, Microsoft Azure, or Mathworks ThingSpeak using protocols like MQTT or HTTP. SparkFun “Datalogger IoT – 9DoF” specifications: Wireless module – ESP32-WROOM-32E: ESP32 dual-core microcontroller 4MB flash 2.4 GHz WiFi and Bluetooth LE connectivity, built-in PCB antenna Storage – MicroSD card slot Sensors 6-axis IMU accelerometer & gyro (ISM330DHCX) Magnetometer (MMC5983MA) 2x Qwicc I2C connectors for additional sensors USB – 1x USB Type-C […]

Using SenseCraft firmware for no-code programming on Wio Terminal

No code programming SHT40 sensor

In the conclusion of our SenseCAP K1100 Sensor Prototype kit review with LoRaWAN and Vision AI, the author suggested that it would be great if SeeedStudio could develop a new firmware that can connect without coding instead of using Arduino programming: I had to rely on my knowledge and experience with LoRaWAN to transmit data wirelessly over long distances. That’s because LoRaWAN has a more complicated connection process than Wi-Fi or Bluetooth. It would be great if Seeed Studio could develop a new firmware that can connect without any coding It did not take long, as SeeedStudio very recently released the first version of SenseCraft open source smart sensor software for no-code sense, process, and uplink that happens to be compatible with the Wio Terminal part of the SenseCAP K1100 development kit. So let’s test the new SenseCraft firmware together. SenseCraft navigation keys We can use Wio Terminal’s joystick as follows: […]

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