Raspberry Pi CM3+ based EagleEye Smart Camera Works with OpenCV and LabVIEW NI Vision

Raspberry Pi CM3 Industrial Smart Camera

We previously covered Q-Wave Systems’ Melon S3 board combining a Xilinx Spartan 3E FPGA with ESP8266, but the Thai company is back is a completely different product: EagleEye Smart Camera. The board is powered by Raspberry Pi Compute Module 3+ (CM3+) with 16GB or 32GB flash, and equipped with a 5 MP camera for machine vision and robotics applications.  There are two version of the board Uno and Industrial with the latter adding 24V digital input and outputs, circuit protections and support for industrial temperature range. EagleEye smart camera key features & specifications: SoM – Raspberry Pi CM3+ with Broadcom BCM2837B0 quad core cortex-A53 processor, 1 GB RAM, and 16GB or 32 GB flash Camera – 5 MP OV5647 image sensor,  CS/M12 lens holder + 4mm CS lens Video Output – mini HDMI port Networking – 10/100M Ethernet USB – 1x USB 2.0 host port up to 1.2A Expansion Uno […]

Habanero Qualcomm IPQ4019/IPQ4029 SoM Brings 802.11ac Wave2 WiFi to Linux Gateways and Routers

IPQ4019 Development Kit

Last April, we first wrote about Qualcomm IPQ4019 quad-core Cortex-A7 processor with built-in 802.11ac Wave 2 WiFi, as it was found in Qualcomm Mesh Networking DevKit with support for Amazon Alexa. A few months later, we discovered router boards powered by either IPQ4019 or IPQ4029 processor such as Dakota DR40X9 or MikroTik RB450Gx4. The latter does not come with WiFi at all and instead leverages the hardware IPSec encryption built-into the processor. Habanero System-on-Module Today, we’ve come across the first IPQ4019 / IPQ4029 system-on-module we’ve countered so far, courtesy of 8devices with their Habanero and Habanero-I 802.11ac Wave 2 modules based on the respective processors. Habanero(-I) specifications: SoC – Qualcomm IPQ4019/IPQ4029 quad-core Arm Cortex-A7 processor @ 717 MHz with NEON, FPU, hardware-based NAT engine, and crypto accelerator System Memory – 512 MB DDR3L RAM Storage – 32MB NOR flash; up to 1 GB NAND flash on baseboard Connectivity QCA8075C 5-port […]

Congatec conga-SMX8-Mini is a SMARC 2.0 Module based on NXP i.MX 8M Mini Processor

SMARC 2.0 i.MX 8M Mini SoM

NXP i.MX 8M Mini is the first i.MX processor from the company to be manufactured using a 14nm process, which enabled a higher 2.0 GHz frequency for the Cortex-A53 cores.  While it was announced in 2018, the first systems-on-module were launched earlier this with products such as iWave System’ iW-RainboW-G34M-SM, TechNexion Axon Flex modules, F&S Elektronik Systems PicoCore-MX8MM, or CompuLab UCM-iMX8M-Mini among many others. So far, we had no covered any SMARC 2.0 compatible system-on-module based on the new NXP processor, but some companies had already launched such modules including Embedian and Avnet. Congatec has now joined them with the launch of conga-SMX8-Mini SMARC 2.0 system-on-module which builds on the company’s earlier conga-SMX8 i.MX 8 module. conga-SMX8-Mini SoM specifications: SoC (one or the other) NXP i.MX 8M Mini Quad with 4x Arm Cortex-A53 @ 1.8 GHz, 1x Arm Cortex-M4 @ 400MHz, GC NanoUltra 3D GPU, GC328 2D Graphics NXP i.MX […]

Innocomm Unveils MediaTek i300/i500 SoMs for IoT and AI Applications

SB30 MTK i300 and SB50 MTK i500 AI IoT Platforms Just announced by Innocomm are the SB30 and the SB50 SoMs carrying the MediaTek i300 and i500 SoC’s, and running either Linux or Android. The rundown on the systems is the MediaTek AIoT processor series has been out for some time, and we reported on the latest SoC in the MediaTek i700 article last July. Innocomm is also known for its NXP-based compute modules such as the i.MX8M Mini driven W15 and i.MX8M powered W10. MediaTek i300 Specs The MediaTek i300 (MT8362) SoC is running a Cortex-A35 power-efficient quad-core processor clocking at 1.5 GHz. The SoC is further equipped with an Imagination PowerVR Series8XE GE8300 GPU. The i300 also integrates a PMIC, an RF chip for 2.4 GHz 802.11/b/g/n as well as Bluetooth 4.0. There is support for the MediaTek MT7668 chipset for 802.11ac (WiFi 5). Rounding out the system […]

Compulab CL-SOM-iMX8X SoM & SBC Feature NXP i.MX 8QuadXPlus Quad Core Cortex-A35 Processor

SBC-iMX8X-Single-Board-Computer

NXP i.MX 8X Cortex-A35 processor designed for automotive infotainment and a variety of industrial applications was officially announced in early 2017 with three parts: i.MX 8QuadXPlus with four Cortex-A35 cores, a Cortex-M4F core, a 4-shader GPU, a multi-format VPU and a HiFi 4 DSP i.MX 8DualXPlus with two Cortex-A35 cores, a Cortex-M4F core, a 4-shader GPU, a multi-format VPU and a HiFi 4 DSP i.MX 8DualX with two Cortex-A35 cores, a Cortex-M4F core, a 2-shader GPU, a multi-format VPU, and a HiFi 4 DSP In 2018, several companies unveiled i.MX 8X systems-on-module including Toradex Colibri iMX8X and Phytech phyCORE-i.MX 8X, and the processor was launched at the end of that year. There’s now another option with Compulab introducing CL-SOM-iMX8X module powered by NXP i.MX 8QuadXPlus processor, as well as SBC-IMX8X single board computer fitted with the module. CL-SOM-iMX8X System-on-Module Key features and specifications: SoC – NXP i.MX 8QuadXPlus quad-core Arm […]

Allwinner R328 Smart Speaker & System-on-Module Spotted in China

Allwinner R328 Smart Speaker

Earlier this year, Allwinner introduced some AIoT (AI + IoT) processors including Allwinner R328 dual-core Cortex-A7 processor for “low-cost voice interaction solutions” aka low-cost smart speakers. I did not pay too much attention at the processor at the time, but since then, the company has released a product brief with some more details about the processor. We can see it integrates 64MB to 128MB DDR3 memory which should be enough to run Linux without external memory, and truly provide a low-cost solution for smart speakers, and I was told the chip may cost around $3. I was also asked whether Allwinner R328 smart speakers were already shipping. A Google search in English did not help, so I had to switch to Chinese, and after visiting several sites, I could see some Allwinner A328 platforms including a smart speaker and a system-on-module were showcased at some event in China. We’ve got […]

Variscite VAR-SOM-6UL System-on-Module Supports NXP i.MX 6UltraLite, i.MX 6ULL, or i.MX 6ULZ ARM Cortex-A7 Processor

VAR-SOM-6UL Development Kit

Variscite has just announced the launch of the VAR-SOM-6UL System-on-Module (SoM) powered by a choice of NXP’s i.MX 6UltraLite / 6ULL / 6ULZ Arm Cortex-A7 processor clocked at up to 900MHz CPU clock and based on the company earlier DART-6UL module while integrating an additional LVDS bridge option, all packed in SO-DIMM200 form factor to fit the VAR-SOM Pin2Pin family. The module is optimized for power, size, and cost, and supports dual Ethernet, dual USB, audio, CAN Bus, camera, optional single or dual-band WiFi, Bluetooth BLE, Touch, ADC, PWM, as well as support for industrial temperature grades with -40 to 85°C range. Variscite VAR-SOM-6UL specifications & key features:  SoC – NXP i.MX 6UltraLite / 6ULL / 6ULZ ARM Cortex-A7 with optional security features up to 900MHz CPU Clock with 2D Pixel acceleration engine System Memory – Up to 1024 MB DDR3L Storage – 512 MB NAND / 64 GB eMMC […]

Pine64 SoEdge-RK1808 AI Module Delivers 3.0 TOPS via Rockchip RK1808 SoC

SOPINE Model A Baseboard + SoEdge-RK1808

A few weeks ago, Ameridroid reported Pine64 would soon launch SoRock and SoEdge systems-on-module, but at the time there was virtually no info except SoRock would be likely based on either RK3328 or RK3399 and work on the existing Clusterboard, while SoEdge would be an AI Neural module for Artificial Intelligence tasks, with up to 3 TeraFLOPS of performance. I did not write about it at the time, simply because there was so little information, but this morning I’ve just received some photos of SoEdge-RK1808 module fitted to a baseboard that looks to be SOPINE Model “A” carrier board. SoEdge-RK1808 SoM Let’s try to derive the specifications from the photos even though some components appear to be blurred out or just unclear: SoC – Rockchip RK1808 dual-core Cortex-A35 processor with 3.0 TOPS NPU (Neural Processing Unit) System Memory – 2GB RAM (2x 8GBit Micro DDR4-2400) but limited PC-2133 Storage – […]

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