Category: Qualcomm QCS

Posted on by Tomisin Olujinmi - No Comments on Qualcomm QCC730M dual-band WiFi 4 and QCC74xM WiFi 6, BLE 5.3, and 802.15.4 modules target low-power and IoT edge devices

Qualcomm QCC730M dual-band WiFi 4 and QCC74xM WiFi 6, BLE 5.3, and 802.15.4 modules target low-power and IoT edge devices

Qualcomm QCC730M module

Qualcomm has added two new IoT modules to its wireless connectivity product series: the Qualcomm QCC730M ‘micro-power’ WiFi 4 module and the QCC74xM tri-radio module, with both modules designed for smart homes, smart appliances, medical devices, and industrial applications. The Qualcomm QCC730M is a dual-band, micro-power Wi-Fi 4 module with a 60MHz Arm Cortex-M4F MCU, 640kB SRAM, 1.5MB RRAM, hardware crypto accelerator, and secure boot, debug, and storage. Its low-power design is ideal for portable, battery-powered IoT devices like IP cameras, sensors, and smart locks. Based on the Qualcomm QCC730 module, it features a 36-pin LGA package with a PCB antenna or RF connector and supports up to 4MB of optional NOR flash. The Qualcomm QCC74xM is Qualcomm’s “first programmable connectivity module,” integrating a 32-bit RISC-V module, optional stacked memory (PSRAM and NOR flash), and a tri-radio chipset for WiFi 6, Bluetooth 5.3, and IEEE 802.15.4 (Thread and Zigbee). Its […]

Posted on by Debashis Das - 16 Comments on Qualcomm QCS6490-based Rubik Pi AI SBC supports Android, Linux, and “LU” operating systems

Qualcomm QCS6490-based Rubik Pi AI SBC supports Android, Linux, and “LU” operating systems

RUBIK Pi AI SBC

Thundercomm has recently introduced the Rubik Pi AI SBC built around the Qualcomm QCS6490 SoC with a 12.5 TOPS AI accelerator. The SBC comes in a “PI-CO ITX” form factor that combines the Pico-ITX standard and the 40-pin GPIO header found on Raspberry Pi SBCs. The SBC comes with a standard set of interfaces, including USB, HDMI out, MIPI-CSI camera support, Ethernet, Wi-Fi 5, Bluetooth 5.2, and much more. Additionally, the SBC features a 40-pin header for GPIO, UART for debugging, audio output, and RTC battery support. The company mentions that it is the first Pi-based system using Qualcomm’s AI platforms so it supports Raspberry Pi HAT/HAT+ expansion boards, making it suitable for various AI, IoT, and edge computing projects. Rubik Pi AI SBC specification SoC – Qualcomm QCS6490 CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x […]

Posted on by Sayantan Nandy - No Comments on u-blox EVK-LEXI-R10 evaluation kits feature LEXI-R10 LTE Cat 1bis and MAX-M10S GNSS modules for Cellular IoT and GPS connectivity

u-blox EVK-LEXI-R10 evaluation kits feature LEXI-R10 LTE Cat 1bis and MAX-M10S GNSS modules for Cellular IoT and GPS connectivity

EVK LEXI R10 Board

u-blox has developed the EVK-LEXI-R10 evaluation kits to help engineers test and evaluate their LEXI-R10 LTE Cat 1bis cellular modules. These compact modules support data speeds of up to 10Mbit/s for downloads and 5Mbit/s for uploads, all while using very little power. They also include built-in Wi-Fi to scan indoor hotspots and work with u-blox’s CellLocate service for both indoor and outdoor tracking. Available in regional variants, the boards and kits are certified by major mobile operators, including those in the US. The LEXI-R10 series by u-blox features the world’s smallest LTE Cat 1bis modules in the LEXI LGA form factor. The EVK-R10 kits simplify the evaluation of these multi-band LTE Cat 1bis modules. The EVK-R10401D kit supports the LEXI-R10401D module for North American operations, the EVK-R10801D kit supports the LEXI-R10801D module for Europe, Middle East, Africa, and Asia-Pacific, and the EVK-LEXI-R10001D kit supports the LEXI-R10001D module with global coverage. […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Tachyon is a business card-sized SBC based on Qualcomm QCM6490 Arm AI SoC with 5G and WiFi 6 connectivity (Crowdfunding)

Tachyon is a business card-sized SBC based on Qualcomm QCM6490 Arm AI SoC with 5G and WiFi 6 connectivity (Crowdfunding)

Tachyon Qualcomm QCS6490 SBC

Particle Tachyon is a credit card-sized SBC for AIoT projects powered by a Qualcomm QCM6490 octa-core Cortex-A78/A55 SoC with 12 TOPS of AI performance, 4GB RAM, 64GB UFS storage, and support for 5G cellular and WiFi 6 connectivity. The Tachyon integrates MIPI DSI and CSI display/camera interfaces, two USB-C ports including one with DisplayPort Alt mode, and also leverages some Raspberry Pi 5’s hardware features with a 40-pin GPIO header for HAT expansion boards and the 20-pin PCIe FFC for PCIe add-ons. Tachyon specifications: SoC – Qualcomm QCM6490 CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x Silver cores (Cortex-A55) @ up to 1.9 GHz GPU – Adreno 643L GPU @ 812 MHz with support for Open GL ES 3.2, Open CL 2.0, Vulkan 1.x, DX FL 12 DSP – Hexagon DSP with dual HVX and 4K […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on SagireEdge AI 600 SMARC SoM and devkit feature Qualcomm QCS6490 AIoT processor for Edge AI applications

SagireEdge AI 600 SMARC SoM and devkit feature Qualcomm QCS6490 AIoT processor for Edge AI applications

Qualcomm QCS6490 SMARC SoM

Sagire AI’s SagireEdge AI 600 is a SMARC-compliant system-on-module (SoM) and a development kit based on Qualcomm QCS6490 octa-core Cortex-A78/A55 IoT processor and designed for Edge AI applications. The module comes with 8GB LPDDR5 and 128GB UFS storage, a WiFi 6E and Bluetooth 5.5 wireless module, a CAN Bus controller, and on-module camera and audio input connectors. Its MXM 3.0 edge connector exposes additional camera interfaces, a MIPI DSI display interface, PCIe Gen3 x2, gigabit Ethernet, a few USB interfaces, and a range of low-speed I/Os. SagireEdge AI 600 SoM specifications: SoC – Qualcomm QCS6490 CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x Silver cores (Cortex-A55) @ up to 1.9 GHz GPU – Adreno 643L GPU @ 812 MHz with support for Open GL ES 3.2, Open CL 2.0, Vulkan 1.x, DX FL 12 DSP – […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Cavli C17QS Cat 1.bis cellular IoT and GNSS module offers more memory, global support, a new FreeRTOS SDK

Cavli C17QS Cat 1.bis cellular IoT and GNSS module offers more memory, global support, a new FreeRTOS SDK

Cavli C17QS Cat 1.bis cellular IoT module with FreeRTOS SDK

Cavli Wireless C17QS is a Cat 1.bis cellular IoT and GNSS module that builds up on the Qualcomm QCX216-powered C16QS Cat 1.bis Cellular IoT module introduced last year, with more memory (2MB RAM) and storage (8MB flash), a wider range of LTE bands, multi-band (L1 and L5) GNSS, and a new FreeRTOS SDK for more flexibility compared to the C16QS. The Cavli C17QS Cat 1bis module is designed around a Qualcomm QCX217 Arm Cortex-M3 microcontroller clocked at up to 306MHz clock speed and running FreeRTOS real-time operating system. The module features a range of interfaces including UART, USB 2.0, USIM, SWD, ADCs, I2S, I2C, SPI, and GPIO pins. The new module is pin-to-pin compatible with the C16QS module for easier design upgrades. Cavli C17QS specifications: Wireless IC – Qualcomm QCX217 Arm Cortex-M3 @ 306 MHz, cellular modem-RF Memory – 2MB RAM Storage – 8 MB flash Cellular connectivity LTE CAT […]

Posted on by Debashis Das - 1 Comment on Avnet AI Vision Development Kit features Qualcomm QCS6490 SoC, dual camera, GbE, and USB-C PD

Avnet AI Vision Development Kit features Qualcomm QCS6490 SoC, dual camera, GbE, and USB-C PD

QCS6490 Vision AI Development Kit

Just last month at Embedded World 2024, Qualcomm announced its RB3 Gen 2 Platform based on the QCS6490 processor with Cortex-A78 and A55 processing cores and 12 TOPS of AI power. Building on this, Avnet has recently launched the Avnet AI Vision Development Kit, also based on the QCS6490 SoC. The kit includes a dual camera setup, Gigabit Ethernet connectivity, USB-C Power Delivery, and a host of other features for applications like inventory and asset monitoring, drone/UAV/other mobile vision-AI edge compute applications, and multi-camera security systems with recognition. Previously we have written about similar AI dev kits including Allwinner V853 100ASK-V853-Pro, Sipeed Maix-III devkit, RZBoard V2L, and many other AI vision development boards feel free to check those out if you are interested in the topic. Avnet AI Vision Development Kit specifications SM2S-QCS6490 SMARC Compute Module: CPU – 4x Arm Cortex-A78 (up to 2.7 GHz), 4x Arm Cortex-A55 (up to […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 6 Comments on Qualcomm RB3 Gen 2 Platform with Qualcomm QCS6490 AI SoC targets robotics, IoT and embedded applications

Qualcomm RB3 Gen 2 Platform with Qualcomm QCS6490 AI SoC targets robotics, IoT and embedded applications

Qualcomm RB3 Gen 2 Platform Vision Kit

Qualcomm had two main announcements at Embedded World 2024: the ultra-low-power Qualcomm QCC730 WiFi microcontroller for battery-powered IoT devices and the Qualcomm RB3 Gen 2 Platform hardware and software solution designed for IoT and embedded applications based on the Qualcomm QCS6490 processor that we’re going to cover today. The kit is comprised of a QCS6490 octa-core Cortex-A78/A55 system-on-module with 12 TOPS of AI performance, 6GB RAM, and 128GB UFS flash connected to the 96Boards-compliant Qualcomm RBx development mainboard through interposer, as well as optional cameras, microphone array, and sensors. Qualcomm QCS6490/QCM6490 IoT processor Specifications: CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x Silver cores (Cortex-A55) @ up to 1.9 GHz GPU – Adreno 643L GPU @ 812 MHz with support for Open GL ES 3.2, Open CL 2.0, Vulkan 1.x, DX FL 12 DSP – Hexagon […]

EmbeddedTS embedded systems design