Sparkfun Launches the ZED-F9R GPS Dead Reckoning Raspberry Pi pHAT for Mobile Robots

The SparkFun ZED-F9R GPS pHAT module is targeted at single board computers like the Raspberry Pi, Jetson Nano, and other boards with the 2 x 20mm header form factor supporting the GPS RTK (Real-time kinematic) capable of centimeter-level accuracy. Dead Reckoning in robotics allows one to calculate one’s position by using a previously known location or landmarks. Dead Reckoning is an essential aspect of robot navigation, especially Autonomous vehicles like mobile robots orĀ  UAVs. For dead Reckoning to be realistic and minimize the position uncertainty, it usually requires the fusion of position estimation sources like Lidar, Radar, IMU, Odometry, GNSS, accelerometer, and some others. Sparkfun understands this and has launched the Dead Reckoning add-on module that can be used for applications in mobile robots, UAVs, and others. The Sparkfun ZED-F9R GPS pHAT is an exciting sensor fusion board (having been a fan of Extended Kalmar Filter) that provides accurate and real-time position update by fusing a 3D IMU sensor, wheel […]

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$15 Sparkfun Edge Board Supports Tensorflow Lite for Microcontrollers

Sparkfun Edge Tensorflow MCU Board

The 2019 TensorFlow Dev Summit is now taking place, and we’ve already covered the launch of Google’s Coral Edge TPU dev board and USB accelerator supporting TensorFlow Lite, but there has been another interesting new development during the event: TensorFlow Lite now also supports microcontrollers (MCU), instead of the more powerful application processors. You can easily get started with Tensorflow Lite for MCU with SparkFun Edge development board powered by Ambiq Micro Apollo3 Blue Bluetooth MCU whose ultra-efficient Arm Cortex-M4F core can run TensorFlow Lite using only 6uA/MHz. SparkFun Edge specifications: MCU – Ambiq Micro Apollo3 Blue 32-bit Arm Cortex-M4F processor at 48MHz / 96MHz (TurboSPOT) with DMA, 1MB flash, 384 KB SRAM, 6uA/MHz power usage, Bluetooth support. Connectivity – Bluetooth LE 5 (on-chip) + Bluetooth antenna Camera – OV7670 camera connector Audio – 2x MEMS microphones with operational amplifier Sensor – STMicro LIS2DH12 3-axis accelerometer Expansion – Qwiic connector, 4x GPIO header, Debugging – FTDI-style serial header for programming […]

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ESP32 Updates – ESP32-S Module Replaces ESP3212, ESP32 DevBoards for Sale, Arduino & NodeMCU Support

There have been some developments with regards to Espressif ESP32 in the last month since my post about upcoming ESP32 development boards. First ESP3212 module is no more, and has been replaced with ESP32-S module with about the same features, but it’s not pin-to-pin compatible, so the new module won’t work with older breakout boards made for ESP3212. ESP32-S is now out of stock on Seeed Studio, but you’ll find it on IC Station, Banggood, and others shops. One good news is that it’s now easier to buy – or at least pre-order – ESP32 development boards, although stock may still be an issue, as the platform is very popular. If you live in the US, you can now backorder “Sparkfun ESP32 Thing” for $19.95. ESP32 board can be powered by either a micro USB power supply or a LiPo battery, and exposes close to 30 I/O pins. ESP32 developer board is still listed on Adafruit for $15, but you […]

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IoT Wi-Fi Modules Comparison Table – ESP8266 vs CC3000 vs RN131 vs HDG204

We now have several options to add WiFi to IoT / embedded projects at relatively low cost, and ESP8266 based solutions clearly wins on costs, but are there some advantages to other higher priced modules? To help us find out, Mike Barela has put up a comparison table with some Wi-FI modules based on Espressif ESP8266, Texas Instruments CC3000, Microchip RN131, and H&D Wireless HDG204 processors. Note 1 – Also comes in Arduino Shield size with SD card slot for $39.95 Note 2 & 3 – Adafruit and Sparkfun sell tested units with AT Firmware for $6.95. lower prices are available on eBay, but quality may vary. Note 4 – Currents are probably somewhat higher than stock ESP-12 due to onboard LED and regulator. The comparison is not exhaustive, but it still appears to show ESP8266 solutions support most features than pricer competing modules. There are however case where competing solutions have an edge, for example if you need an […]

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