Imago “VisionAI” Smart AI Camera supports Tensorflow Lite & AutoML Vision Edge

Imago VisionAI Smart AI Camera

Imago Technologies GmbH “VisionAI” is a programmable Smart AI camera that combines a quad-core Cortex-A53 processor @ 1.8 GHz together with Google Edge TPU, and designed for embedded image processing applications in the fields of AI, Deep Learning, and Machine Learning. The smart camera supports TensorFlow Lite and AutoML Vision Edge frameworks, and is suited for tasks such as pattern recognition, classification, anomaly or defect detection in inspection applications, code reading, and other machine vision applications. Imago VisionAI (VisionSensor PV3 AI) camera specifications: SoC – Unnamed quad-core Arm Cortex-A53 processor @ 1.8 GHz (likely NXP i.MX 8M Mini) AI Accelerator – Google Edge TPU with up to 4 TOPS of AI processing power System Memory – 2 GB DDR4 RAM Storage – MicroSD card up to 32GB Connectivity – Gigabit Ethernet M12 connector Camera 1/1.8” 5MP mono or color CMOS sensor with 2560 × 1936 pixels resolution, up to 65 fps frame rate, 2.8 μm pixel size, partial scan support […]

Ebyte E104-BT11 Bluetooth Mesh module features Silicon Labs EFR32MG21 MCU

Ebyte E104-BT11 Bluetooth Mesh modules

Ebyte E104-BT11 is a Bluetooth Mesh module offered in four variants with support for gateways (G) and node (N) versions, as well as PCB or IPEX antenna versions. Interestingly it is based on Silicon Labs EFR32MG21 Cortex-M33 microcontroller also found in ITEAD Zigbee 3.0 USB dongle, so it’s not impossible that it could be repurposed for Zigbee or Thread with firmware from Silabs. Ebyte E104-BT11 module specifications: Wireless MCU – Silicon Labs EFR32MG21 Arm Cortex-M33 microcontroller @ up to 80 MHz with DSP and FPU, up to 1024 kB flash, up to 96 kB RAM, 2.4 GHz IEEE 802.15.4 for Bluetooth LE, Zigbee, or Thread Wireless connectivity Bluetooth Mesh/BLE support with default firmware, up to 10,922 devices supported Max Tx power – 20 dBm Rx sensitivity- -88 to -97 dBm (-97 dBm typ.) Max data rate – 1Mbps Antenna – PCB antenna up to 200-meter range, or IPX antenna up to 300-meter range 26 castellated holes with GPIOs, PWM, UART […]

Crowdfunded “Mi Mini PC” Windows 10 Mobile PC remains undelivered after 3 years

Mi-Mini-PC-Fail

Crowdfunding can be fun, but also risky for backers, especially when backing projects from startups. There are many such examples of projects gone bad, and last year we noted TAIHE Gemini portable display was another crowdfunding campaign gone wrong despite raising over one million dollars. Today, I’d like to reiterate this warning with “Mi Mini PC“, a pocket-size Windows 10 Mobile PC that was introduced on Indiegogo and raised a cool 1.5 million dollars. Note that the “Mi” here is completely unrelated to Xiaomi, and the product was developed by a company with the now-unreachable  mipcworld.com website. There were early red flags shorting after the launch of the campaign with the developer making unrealistic claims about a free upgrade from Atom x7 to Core M3-7Y30, and no pictures of an actual prototype. But somebody just left a comment on the CNX Software article that there was still nothing. So I had a look. The last update was in December 2018… […]

Intel Atlas Canyon NUC to feature Jasper Lake J-Series processors (Leak)

Intel Atlas Canyon NUC

Intel Jasper Lake N-series low-power processor family was introduced as an update to the Gemini Lake family last January, and the first Jasper Lake mini PC’s have just started to show up with mass production scheduled in mid-May. But now, courtesy of FanlessTech, we have more information about Intel Atlas Canyon NUC that will be offered with a choice of three Jasper Lake processors, namely Pentium Silver J6005, Celeron J5105, and Celeron J4505, all of which are J-series, and have yet to be announced/listed on Intel Ark website. Intel NUC 11 Essential “Atlas Canyon” specifications: SoC NUC11ATKPE – Intel Celeron J4505 dual-core processor clocked at 2.0 GHz / 2.7 GHz (Burst) with Intel HD Graphics @ 750 MHz NUC11ATKC4 – Intel Celeron J5105 quad-core processor clocked at 2.0 GHz / 2.9 GHz with Intel HD Graphics @ 800 MHz NUC11ATKPE – Intel Pentium Silver J6005 quad-core processor clocked at 2.0 GHz / 3.3 GHz with Intel HD Graphics @ 900 […]

AIO-CM4-101 “All-in-One Pi” is a Raspberry Pi CM4 based 10.1-inch industrial PC

AIO-CM4-101 All-in-One Pi industrial PC

We’ve previously written about Chipsee CM4-70 Industrial Pi  7-inch Panel PC based on Raspberry Pi CM4 module that is offered either as an embedded model to be integrated into the customer enclosure or as a fully integrated panel ready to be mounted into a wall or machine. The company has now launched another model with AIO-CM4-101 “All-in-One Pi” industrial PC offering a 10-inch touchscreen display that can be mounted by using 75x75mm VESA holes, for example on a display stand. AIO-CM4-101 All-in-One Pi specifications: SoM – Raspberry Pi CM4 with Broadcom BCM2711 quad-core Cortex-A72 processor at 1.5 GHz, up to 8GB RAM, up to 32GB eMMC flash Storage – MicroSD card slot for storage expansion Display – 10.1-inch IPS LCD with 1280×800 resolution, 10-point capacitive touchscreen, 350 nit brightness: Camera – Optional front-facing camera Audio – Mic input on the front panel, 2W internal stereo speaker, 3.5mm audio In/Out connector, buzzer Connectivity Gigabit Ethernet port Optional WiFi & Bluetooth on […]

RISC-V International to give away 1,000 RISC-V development boards

RISC-V development board giveaway

The best way for a new platform to get good software support is to bring hardware into the hands of developers. That’s exactly what RISC-V International is doing by inviting developers to sign up for a RISC-V developer board sponsored by RISC-V and contributing members. There are 1,000 boards on offer with 1GB to 16GB RAM depending on the target project from five companies and organizations namely Allwinner, Beagleboard.org, SiFive, Microchip Technology (previously Microsemi), and RIOS. Here are the stated goals of the giveaway: Spur innovation Enable new opportunities for the next generation of developers to work with the RISC-V ISA Provide a platform For testing To write programs that run on RISC-V Develop software Integrate existing software stacks Optimize ecosystem software Share feedback on the product such as ease to integrate software stacks, develop and test extensions, etc. The company did not provide an exact list of development board but it should include Allwinner D1 SBC (1GB RAM), the […]

ATMegaZero ESP32-S2 board supports OLED displays

ATMegaZero ESP32-S2

EspinalLab ATMegaZero board was introduced last year with Raspberry Pi Zero form factor, the Arduino Leonardo compatible, 16 MHz Microchip ATmega32U4 microcontroller, and a connector for an optional OLED display. The company is now back with an update following the same form factor with ATMegaZero ESP32-S2 board equipped with a more powerful ESP32-S2 single-core processor @ 240 MHz with WiFi connectivity, and most of the same features, including OLED display support, plus a micro USB OTG port and an RGD LED. ATMegaZero ESP32-S2 board specifications: WiSoC – Espressif Systems ESP32-S2 single-core processor @ 240 MHz with WiFi RAM – 8MB PSRAM Storage MicroSD card 256Mbit (32MB) SPI Flash (note: only 16MB can be used for now due to firmware limitations) Display – 32-pin OLED display port compatible with 30-pin SSD1306 and SH1106 based displays Wireless Connectivity – 2.4 GHz WiFi 4 up to 150 MHz with 3D antenna  USB – 1x Micro USB port for power and programming, 1x Micro […]

Allwinner D1 RISC-V processor SDK & Documentation

Allwinner D1 SDK

We published information about Allwinner D1 SBC and processor a few weeks ago. The news was pretty interesting as it’s the first RISC-V processor from the company, and one of the first affordable RISC-V SBC. But all we had at the time was hardware information from a leak, or rather from China-only Allwinner developer website. But now the company has added more information to its open-source development website with the release of documentation, now only in Chinese, as well as the Allwinner D1 Tina SDK. Eventually, there should be a better SDK via linux-sunxi community and some are already working on the Allwinner D1 SBC, but let’s try to get the SDK from Allwinner and build the code from source using the documentation. First, you’d need to register on Allwinner open-source website and click on signup. You’ll probably want to select Email registration. Now fill your username, select a country, enter a company name, password, and email. For the country, […]