iWave Systems Unveils iW-RainboW-G34M-SM i.MX 8M Mini/Nano System-on-Module

i.mx 8m nano system-on-module

NXP nomenclature for their i.MX 8M processors can be a little confusing. First discovered in 2016, the original i.MX 8M processor family comes with one to four Arm Cortex-A53 cores, a real-time Cortex M4 core, targets multimedia application with FullHD or  4K decoding/encoding support and is manufactured using a 28nm process. NXP then announced i.MX 8M Mini processor family in February 2018 with a 14-nm FinFET processor allowing a higher maximum CPU frequency of 2.0 GHz, less video output interfaces (no HDMI, nor DisplayPort), and optional Full HD video encoder and decoder, .e.g no 4K. Finally, earlier this year, the company unveiled NXP i.MX 8M Nano further power-optimized with the same 14nm manufacturing process, but a lower frequency of 1.5 GHz, and a Cortex-M7 core replacing the Cortex-M4 core found in previous i.MX 8M processors. This allows i.MX 8M Nano SoC to have a 2W TDP, and achieve sub-watt power consumption in IoT edge projects. We’ve already written about i.MX …

Khadas VIM3 Development Board to Launch for $69.99 and Up on June 24

Khadas VIM3

After ODROID-N2, Khadas VIM3 is the second Amlogic S922X powered development board to become available to the maker community. However, while the former have been available for a couple of month, we only knew most of Khadas VIM3 specifications so far. Shenzhen Wesion has now announced a launch date and pricing for the board, and as well as released a few more details. Khadas VIM3 Basic and Pro will start selling on June 24 for respectively $69.99 with 2GB RAM and 16GB flash, and $99.99 with 4GB RAM and 32GB flash. Those prices are very attractive, and competitive against ODROID-N2 due to the extra features like built-in flash. The downside is that those are introductory prices that will be effective for the first production batch and until July 22, 2019 only, after which prices will increase. The company also provided a comparison table showing the main difference between their earlier Edge-V Pro (RK3399) board, ODROID-N2 4GB and Khadas VIM3 Pro …

HT-102 is a $130 Thermal Camera for Android Phones

HT-102 Thermal Camera for Android Phone

Thermal cameras are useful to accurately monitor the temperature of electronics components, people,  fires, houses, and so on. Thermal imaging cameras can be relatively expensive and one way to lower the cost and make sharing of results easier is to get a model that connects to your smartphone. The ones listed on Amazon cost $200 and up, but you’ll find HT-102 thermal camera for Android phones on Chinese websites such as GearBest or Banggood for around $130. HT-102 specifications: Material: metal Capture Temperature Range – -20 to 300°C Accuracy – ±3℃ or ±5% of reading Resolution – 0.1℃ or 0.1℉ Working band – 8-14μm Horizontal viewing angle / vertical viewing angle – 43°±1°/ 43°±1° Infrared image resolution – 32 x 32 Visible image resolution – 640 x 480 Phone I/F – USB type-C port for data and power Dimensions – 60  x 30 mm Weight – 19 grams Temperature Range – Operating: 0 to 35°C; storage: -20 to 60°C The …

SolidRun i.MX 8M Mini SoM Includes Gyrfalcon Lightspeeur 2803S AI Accelerator

Solidrun i.MX 8M Mini SoM

There are already plenty of NXP i.MX 8M Mini boards and system-on-modules, but so far none of those included a neural network accelerator. But that’s now an option as SolidRun and Gyrfalcon teamed up to design SolidRun i.MX 8M Mini system-on-module that combines NXP i.MX 8M Mini processor with Gyrfalcon Lightspeeur 2803S NPU (Neural Processing Unit) in order to speed up AI workloads at the edge. SolidRun i.MX 8M Mini SoM Specifications: SoC (one or the other) NXP i.MX8M Mini S single core Arm Cortex-A53 processor up to 1.8 GHz, Arm Cortex-M4 core up to 400MHz, GC NanoUltra 3D GPU + GC320 2D GPU NXP i.MX8M Mini D dual-core Arm Cortex-A53 processor up to 1.8 GHz, Arm Cortex-M4 core up to 400MHz, GC NanoUltra 3D GPU + GC320 2D GPU NXP i.MX8M Mini Q quad-core Arm Cortex-A53 processor up to 1.8 GHz, Arm Cortex-M4 core up to 400MHz, GC NanoUltra 3D GPU + GC320 2D GPU NPU – Gyrfalcon Technology …

ASUS Tinker Edge R Pico-ITX Board to Feature Rockchip RK3399Pro SoC

ASUS Tinker Edge R

Just a few days ago, we wrote about ASUS Tinker Edge T board and other products from ASUS featuring Google Coral Edge TPU which were showcased at Computex 2019. It turns out the company is working on another Tinker with a processor featuring an neural network accelerator. Meet ASUS Tinker Edge R Pico-ITX SBC powered by Rockchip RK3399Pro hexa-core processor equipped with a 3.0 TOPS NPU. One of the reasons it did not get noticed is that ASUS may not have had a sample for display at the event, but instead only described the board in a brochure. [Update: ASUS Tinker Edge R was also showcased at Computex 2019] ASUS Tinker Edge R SBC preliminary specifications: SoC – Rochchip RK3399Pro hexa-core big.LITTLE processor with 2x Cortex A72 cores up to 1.8 GHz, 4x Cortex A53 cores @ 1.4 GHz, an Arm Mali-T860 MP4 GPU up to 800 MHz with OpenGL ES 1.1 to 3.2, OpenVG1.1, OpenCL 1.2 and DX 11 …

FriendlyELEC SOM-RK3399 Development Kit Targets AI & Machine Vision Applications

SOM-RK3399 Development Kit SSD Modem

FriendlyELEC is better known for their low-cost tiny single board computers, but the company has also introduced systems-on-module in the past such as Smart6818 module powered by Samsung S5P6818 octa-core processor. The company has now launched another system-on-module with SOM-RK3399, which as its name implied features Rockchip RK3399 processor, as well as a corresponding carrier board mostly designed for artificial intelligence and computer vision applications. SOM-RK3399 System-on-Module Specifications: SoC – Rockchip RK3399 big.LITTLE hexa-core processor with 2x Cortex-A72 cores up to 2.0GHz, 4x Cortex-A53 cores up to 1.5GHz, Mali-T864 GPU with support for OpenGL ES1.1/2.0/3.0/3.1, OpenVG1.1, OpenCL, DX11, and AFBC, and VPU capable of handling 4K VP9 and 4K 10bits H265/H264 60fps decoding, Dual VOP, etc System Memory – Dual-Channel 2GB DDR3 Storage – 16GB eMMC 5.1 flash Networking 802.11a/b/g/n/ac, Bluetooth 4.1, Wi-Fi and Bluetooth combo module (AP6356S), dual antenna interface Realtek RTL8211E Gigabit Ethernet transceiver USB – 2x USB-C ports on the module 260-pin edge connector with Storage – …

An Interview with a TV Box Manufacturer: Shenzhen Tomato

Shenzhen Tomato Logo

I’ve been interviewing Jojo Zhou, Sales Manager at Shenzhen Tomato Technology, a TV box manufacturer, over email to learn a bit more about the TV box market, and various challenges encountered by manufacturers. CNXSoft: We’ve already covered several products sold by Shenzhen Tomato on CNX Software, but for readers who may not know the company yet, could you provide a short description of the company? Jojo Zhou: With over 8-years of experience, Shenzhen Tomato Technology Co., Ltd has become one of the leading OEM/ODM manufacturers specialized in developing Android TV Box, IPTV Set Top Box, Android Media Player, Hybrid Set Top Box and media solution. ODM and OEM is our main advantage, including hardware design and software customize (such as driver porting, kernel modification, etc). We have a first-class R&D team of 30 energetic engineers with rich experience to focus on that. A strict and complete quality control system is built to ensure each product has been strictly inspected before …

Boundary Devices NXP i.MX 8M Mini Board Gets Android 9.0 Firmware

Nitrogen8M_Mini Android 9.0 NXP i.MX 8M Mini

Beside Debian 9.5, Ubuntu 18.04, the Yocto Project, and Buildroot Linux, NXP i.MX 8M Mini processors also supported Android 8.1 Oreo. But Boundary Devices has just announced their Nitrogen8M_Mini single board computers is now getting support for Android 9.0 Pie operating system. The company worked with Kynetics to release an Android 9.0 evaluation image for the i.MX8M Mini boards based on Linux 4.14.x kernel. You can also get the source code to build it from scratch for your board: You’ll also need NXP vendor package, which you can install as follows: The last step is to build the code: You can find more details, including instructions to flash the image in the getting started guide. The image and source code are only suitable for evaluation, and you’d have to work yourself to get a production-ready version with security patches, field upgrade, and performance improvements, or ask Boundary Devices or Kynetics to help out. Jean-Luc Aufranc (CNXSoft)Jean-Luc started CNX Software in …