Video Category - Page 55 of 331 - CNX Software

September 7, 2022September 7, 2022 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Odyssey Blue mini PC bundle ships with Frigate open-source NVR, Coral USB AI accelerator

Odyssey Blue mini PC based on the ODYSSEY-X86J4125 SBC is now offered as part of a bundle with Frigate open-source NVR platform with support for real-time local object detection, and an Coral USB AI accelerator. The Odyssey Blue mini PC is equipped with an Intel Celeron J4125 quad-core Gemini Lake Refresh processor, 8GB RAM, and a 128GB SSD preloaded with an unnamed Linux OS (probably Debian 11) and Frigate Docker container. The solution can run over object detection at 100+ FPS when equipped with a Coral USB accelerator. Since the hardware is not exactly new, and we’ve covered it in detail in the past, even reviewing the earlier generation SBC with Celeron J4105 processor and Re_Computer enclosure, I’ll focus on the software, namely Frigate NVR in this post. Frigate is an open-source NVR program designed for Home Assistant with AI-powered object detection that runs as a Docker container and uses […]

September 6, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Sensirion SCD40 CO2 sensor units for makers: M5Stack UNIT CO2 and TeHyBug ESP8285 device

We just wrote about the Infineon XENSIV PAS CO2 Shield2Go board to measure carbon dioxide (CO2) levels last week, but I’ve just come across two more hardware with a CO2 sensor designed for makers, but based on Sensirion SCD40 sensor instead, and mostly designed to monitor indoor CO2 levels since high concentrations may impact your health negatively. The first one is the M5Stack UNIT CO2 that’s designed to be connected to one of the company’s Core modules through an I2C interface, and TeHyBug portable mini sensor device equipped with ESP8285 WiFi microcontroller, as well as optional AHT10 temperature & humidity sensor and BMP280 pressure sensor, besides the SCD40 sensor. M5Stack UNIT CO2 Specifications: Sensirion SCD40 sensor CO2 Measurement range – 400 ~ 2000 ppm CO2 Sampling accuracy – ±(50 ppm + 5% of reading) Temperature range – -10 – 60°C with 0.8°C accuracy Humidity range – 0 – 95% RH […]

September 5, 2022September 5, 2022 by Jean-Luc Aufranc (CNXSoft) - 16 Comments

Banana Pi BPI-R3 WiFi 6 router board features MediaTek Filogic 830/MT7986 SoC

I first noticed the MediaTek MT7986 WiFi router processor in Linux 5.17 changelog. MT7986 is the codename for MediaTek Filogic 830 quad-core Cortex-A53 processor designed for Wi-Fi 6/6E routers with up to 6 Gbps bandwidth, and two 2.5Gbps Ethernet interfaces. Banana Pi BPI-R3 is a router board based on Filogic 830/MT7986A that offers an upgrade to the company’s Banana Pi BPI-R2 board powered by a MediaTek MT7623A quad-core Cortex-A7 processor or even the Banana Pi BPI-R64 board based on a MediaTek MT7622 dual-core Arm Cortex-A53 SoC. Banana Pi BPI-R3 specifications: SoC – MediaTek MT7986A (Filogic 830) quad-core Arm Cortex A53 processor with hardware acceleration engines for Wi-Fi offloading and networking System Memory – 2GB DDR RAM Storage – 8GB eMMC flash, MicroSD card socket, support for M.2 NVMe SSD Networking 2x 2.5GbE SFP cages, 5x Gigabit Ethernet ports (1x WAN + 4x LAN) via MT7531AE 7-port switch WiFi 6 4×4 […]

September 1, 2022September 2, 2022 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

Arducam ToF camera adds depth sensing to Raspberry Pi for $30 (Crowdfunding)

Arducam has launched of Time-of-Flight (ToF) camera module for Raspberry Pi that enables depth sensing by capturing 3D data (at 240×180 resolution) at a distance of up to 4 meters. Arducam has launched several cameras for Raspberry Pi boards over the years, more recently the Arducam Pi HawkEye 64MP camera, but the Arducam ToF camera is quite different, as while it still connects to the MIPI CSI connector of the SBC, it is used to measure distances and depth and display 3D data. Arducam ToF camera specifications: Compatibility – Any Raspberry Pi board with a MIPI CSI connector Effective number of pixels – 240×180 Frame Rate Up to 120 fps (sensor) Up to 30 fps (when processed by a Raspberry Pi using 4-phases RAW frames) Sensor size – 1/6-inch Modulation Frequency – 75MHz/37.5MHz Viewing Angle – 70° Diagonal Light Source – 940nm VCSEL illuminator Output Formats 4-phases RAW Frame Depth […]

August 31, 2022August 31, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

DAQiFi Nyquist 1 – A battery-powered Wi-Fi IoT data acquisition system (Crowdfunding)

DAQiFi Nyquist 1 WiFi IoT data acquisition system

DAQiFi Nyquist 1 is a battery-powered IoT data acquisition (DAQ) device that works over an 802.11n Wi-Fi connection or a USB interface, and can also log the data to a microSD card Equipped with 16 digital I/Os and 16 analog inputs, the Nyquist 1 can be used with all sorts of sensors to measure force and strain, pressure, temperature, current & voltage, luminosity, weight, pH angular velocity, and more. It’s also possible to connect multiple Nyquist 1 devices to a single PC instead of following the traditional method of having one dedicated PC plugged into each data acquisition solution. DAQiFi Nyquist 1 hardware specifications: MCU – Unspecified Microchip microcontroller Storage – MicroSD card slot for data logging Wireless – 802.11n Wi-Fi via Microchip ATWINC1500 wireless module USB – 1x USB 2.0 port 16x analog inputs 0-5V, 12 bit 10 kHz aggregate streaming 160 kHz+ aggregate logging Up to 4 differential […]

August 26, 2022December 26, 2024 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

HiPo batteryless NFC-powered 3.52-inch e-Paper display also comes with an SPI interface (Crowdfunding)

HiPo is a 3.52-inch black and white e-Paper Display that can be updated through NFC without the need for external power and offers an alternative to the 4.2-inch and 7.5-inch NFC-powered e-Paper displays from Wareshare that also operate without battery only using the data and power from NFC to update the image. Alternatively, Guangdong SID Technology’s HiPo display can also be connected to an SPI adapter board allowing the users to connect it to an STM32 board provided by the company, but it could also be used with Arduino boards, ESP8266 & ESP32 hardware platforms, Raspberry Pi SBCs and MCU boards, or any platform with an SPI interface. HiPo specifications: Controller – Ultrachip UC8251 all-in-one driver IC with timing controller for E-tag applications Display 3.52-inch B&W e-Paper display with 360 x 240 resolution (model name: SE0352N01-MNG-A0) 3 seconds refresh time On-chip display RAM White reflectance above 30% Contrast ratio above […]

August 23, 2022November 15, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

AI, computer vision meet LoRaWAN with SenseCAP K1100 sensor prototype kit

Wio Terminal Grove Vision AI LoRaWAN module

CNXSoft: This is another tutorial using SenseCAP K1100 sensor prototype kit translated from CNX Software Thai. This post shows how computer vision/AI vision can be combined with LoRaWAN using the Arduino-programmable Wio Terminal, a Grove camera module, and LoRa-E5 module connecting to a private LoRaWAN network using open-source tools such as Node-RED and InfluxDB. In the first part of SenseCAP K1100 review/tutorial we connected various sensors to the Wio Terminal board and transmitted the data wirelessly through the LoRa-E5 LoRaWAN module after setting the frequency band for Thailand (AS923). In the second part, we’ll connect the Grove Vision AI module part of the SenseCAP K1100 sensor prototype kit to the Wio Terminal in order to train models to capture faces and display the results from the camera on the computer. and evaluate the results of how accurate the Face detection Model is. Finally, we’ll send the data (e.g. confidence) using […]

August 18, 2022December 4, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Getting Started with LoRaWAN on SenseCAP K1100 sensor prototype kit (Part 1)

CNXSoft: This getting started guide/review of the SenseCAP K1100 sensor prototype kit is a translation of the original post on CNX Software Thai. The first part of this tutorial describes the kit and shows how to program it with Arduino to get sensor data to a LoRAWAN gateway and display it on Wio Terminal, before processing the data in a private LoRaWAN network using open-source tools such as Grafana. The second part – to be published later – will demonstrate the AI capability of the kit. In the digital era where IoT and big data are more prevalent, a large amount of data is required to be collected through sensors. To enable the digital transformation, SeeedStudio’s SenseCAP K1100 comes with all necessary sensors and equipment including the Wio Terminal, AI Vision Sensor, and a LoRaWAN module. With this plug-and-play platform, makers can easily create DIY sensors for data collection and […]