Way back in 2012, I wrote about Microchip MGC3130 3D Gesture Controller with “GestIC technology” which allows you to make gesture up to 15cm from the surface and at lower power in order to control devices in a new way. At the time, the chip was said to sell for $2.26 in large quantities, and the evaluation kits went for $169 and up. I’m writing about MGC3130 about 5 years later, as Seeed Studio has started taking pre-orders for a $25.89 Flick HAT board based on the solution, and designed for Raspberry Pi boards, or other boards with a compatible 40-pin “GPIO” header featuring an I2C interface. Flick HAT 3D Tracking & Gesture HAT specifications & features: Chip – Microchip MGC3130 3D Tracking and Gesture Controller Tracking / Gesture Features 3D tracking Gesture sensing up to 15cm: Swipe (east to west, west to east, north to south, south to north), […]
AutoPi is a 4G & GPS OBD-II Dongle Based on Raspberry Pi Zero W Board (Crowdfunding)
We’ve previously covered Macchina M2 OBD-II dongle based on an Arduino compatible MCU, and with 4G LTE support for the maker market, and iWave Systems OBD-II dongle with 4G LTE and LTE running Linux on NXP i.MX6 for the B2B market, but so far I had not seen an hackable OBD-II dongle running Linux for the maker market. AutoPi dongle fills that void as it is based on Raspberry Pi Zero W board, runs Raspbian with Autopi software (AutoPi Core), supports 4G LTE, GPS, etc,.. and connects to your car’s OBD-II socket. AutoPi dongle specifications: SoC – Broadcom BCM2835 ARN11 Core processor @ up to 1 GHz System Memory – 512MB LPDDR2 SRAM Storage – 8GB micro SD card Cellular Connectivity 4G Cat 1 modem with 3G/EDGE fallback working worldwide (but region locked) 4G bands – Region specific 3G fallback (WCDMA) – B1, B2, B4, B5, B8 EDGE fallback – […]
ReSpeaker 4-Mic Array is $25 Quad Microphone Add-on Board for Raspberry Pi
Last year, Seeed Studio launched ReSpeaker WiFi Audio / IoT board based on Mediatek MT7688, as well as an optional microphone array board with 7 microphones and 12 LEDs. Later on, they introduced a $10 2-mic array board for Raspberry Pi Zero (W), and today the company has started to take orders for ReSpeaker 4-Mic Array for Raspberry Pi board for $24.50 plus shipping. Respeaker 4-Mic Array board specifications: Audio X-Powers AC108 quad-channel ADC with I2S/TDM output transition 4 Microphones Expansion 2x Grove interfaces (1x I2C, 1x GPIO port using pins 12 & 13) 40-pin Raspberry Pi compatible header Misc – 12 LEDs (APA102) connected over SPI, GPIO5 enables power Dimensions – 65mm x 65mm x 9mm Weight – ~20 grams The board will give Raspberry Pi board the ability to do Voice Activity Detection (VAD) aka “hot word” detection, estimate Direction of Arrival (DoA) and show the direction via the LED ring, just like Amazon Echo or Google Home. I’m using an Orange Pi Zero board with a single microphone with Google Assistant and while it works fine most of the […]
ComfilePi Industrial Touch Panel PCs are Based on Raspberry Pi CM3 Module
ComfilePi CPi-A070WR & CPi-A102WR are industrial IP65 panel PCs powered by Raspberry Pi CM3 compute module, with respectively 7″ and 10.2″ resistive touchscreen displays, and that run modified version of Raspbian OS. ComfilePi CPi touch panel computers specifications: SoC – Broadcom BMC2837 quad core Cortex A53 processor @ up to 1.2GHz with Broadcom VideoCore IV GPU System Memory – 1 GB Storage – 1x micro SD Slot Display 7“ 800×480 Touchscreen Pressure-sensitive (Resistive Film Type) LCD display OR 10.2” 800×480 Touchscreen Pressure-sensitive (Resistive Film Type) LCD display Audio – 3.5mm audio out port I/Os 40-pin header socket based on Raspberry Pi 40-pin header pinout with 22x GPIO with ESD protection circuit 2x RS-232 terminal blocks 1x I2C terminal block USB – 3x USB 2.0 ports Connectivity – 10/100M Ethernet, optional WiFi via USB dongle Misc – 1x Piezzo buzzer Power Supply – 12~24V DC via 3-pin terminal block Dimensions (housing […]
NComputing RX300 Thin Client Review – Part 1: Unboxing and Teardown
NComputing RX300 is a thin client based on Raspberry Pi 3 board that will allow to remotely run Windows and Linux operating systems from a much more powerful server, and Raspberry Pi 3 mostly handling the display, and connection to hardware like USB keyboard and mouse. The company has me sent a review sample for evaluation, and I’ll start by checking out what I received, and the hardware design of the device. NComputing RX300 Thin Client Unboxing I was asked whether I could test dual display, and then I had to choose between a VGA adapter or a DVI adapter. I selected the former, and I received both RX300 thin client, and a USB to VGA secondary adapter with its USB cable. We’ll find the thin client, a 5.1V/2.5A power adapter with a US plug adapter, and a multi-language quick installation guide in the package. The enclosure is really cute, and […]
Raspbian for Raspberry Pi Boards Gets Upgraded to Debian Stretch
While Raspberry Pi boards support many different operating systems, Raspbian is by far the most popular option, and in the last two years the distribution was based on Jessie (Debian 8), the Raspberry Pi foundation has just announced it was now replaced by an update to Stretch (Debian 9). The Jessie version is completely gone from Raspbian Download page, and you’ll only be offered to download “Raspbian Stretch with Desktop” or “Raspbian Stretch Lite”. So what has changed compared to Jessie? Debian 9 changelog will list the main differences compared to Debian 8, but some modifications have also been made in Raspbian itself: Version 3.0.1 of Sonic Pi “Live Coding Music Synth” app – See changelog Chrome 60 stable with improved memory usage and more efficient code Bluetooth audio is supported by the bluez-alsa package by default instead of PulseAudio Better handling of “non-pi users”, as previously many applications assumed […]
Movidius Neural Compute Stick Shown to Boost Deep Learning Performance by about 3 Times on Raspberry Pi 3 Board
Intel recently launched Movidius Neural Compute Stick (MvNCS)for low power USB based deep learning applications such as object recognition, and after some initial confusions, we could confirm the Neural stick could also be used on ARM based platforms such as the Raspberry Pi 3. Kochi Nakamura, who wrote the code for GPU accelerated object recognition on the Raspberry Pi 3 board, got hold of one sample in order to compare the performance between GPU and MvNCS acceleration. His first attempt was quite confusing as with GoogLeNet, Raspberry Pi 3 + MvNCS achieved an average inference time of about 560ms, against 320 ms while using VideoCore IV GPU in RPi3 board. But then it was discovered that the “stream_infer.py” demo would only use one core out of the 12 VLIW 128-bit vector SHAVE processors in Intel’s Movidius Myriad 2 VPU, and after enabling all those 12 cores instead of just one, […]
Work on VideoCore V GPU Drivers Could Pave the Way for Raspberry Pi 4 Board
I’ve come across an article on Phoronix this morning, about VideoCore IV GPU used in Broadcom BCM283x “Raspberry Pi” processors, but part of the post also mentioned work related to VC5 drivers for the next generation VideoCore V GPU, written by Eric Anholt, working for Broadcom, and in charge of the open source code related to VideoCore IV GPU for Raspberry Pi. This led me Eric’s blog “This Week in VC4/VC5” and articles such as “2017-07-10: vc5, raspbian performance“, where he explains he committed Mesa drivers for VC5. I’ve just pushed a “vc5” branch to my Mesa tree (https://github.com/anholt/mesa/commits/vc5). This is the culmination of a couple of months of work on building a new driver for Broadcom’s V3D 3.3. V3D 3.3 is a GLES3.1 part, though I’m nowhere near conformance yet. This driver is for BCM7268, a set-top-box SOC that boots an upstream Linux kernel. I’m really excited to be […]