CHERRY presents a cost-optimized System-on-Module (SoM) for energy-efficient, smart applications
Vienna, June 12 2024 – CHERRY Embedded Solutions presents the compact System-on-Module RINGNECK SOM-PX30-µQ7 for HMI applications (Human-Machine Interface). RINGNECK has been specially developed for mobile devices that need to focus on energy efficiency and space requirements. The SoM features the most common interfaces (WiFi, Bluetooth, Ethernet, CAN bus, USB, MIPI-CSI, MIPI-DSI, LVDS) and offers a cost-effective platform for a wide range of professional applications.
The most important features at a glance:
RINGNECK SOM-PX30-µQ7 is based on Rockchip’s low-power SoC PX30 with a quad-core ARM Cortex-A35 CPU.
The integrated multimedia processor offers multi-format video decoding and video encoding (H.264, H.265). The ARM Mali GPU supports OpenGL and OpenCL 2.0 Full Profile. A dedicated 2D hardware engine enables image scaling, rotation and window composition to be outsourced and ensures smooth image output.
A MIPI-CSI interface provides native support for high-resolution cameras.
The CPU has ARM cryptography extensions and enables vector processing using Advanced SIMD.
The secure boot mechanism guarantees that only signed images can be executed on the device. Together with the optional EAL6+-certified secure element, they ensure cryptographic identification and the secure storage of digital keys.
Dr. Stefan Roth, Managing Director of CHERRY Embedded Solutions, explains: “Ringneck is part of our SoM series, which is specially tailored to the requirements of cost-efficient IoT applications. Developed and manufactured by highly experienced engineers, it combines the perfect balance of reliability, security and cost efficiency.”
Typical use cases include:
Web panels with touchscreen and PLC logic for configuring and parameterising industrial systems
Remote management and maintenance of vending machines
Testing and measuring devices for vehicle components
Intelligent surveillance cameras
Digital signage displays
Smart mirrors for the retail sector
CHERRY Launches High-Performance System-on-Module for Advanced Robotics and Smart Systems
Vienna, May 08, 2024 – CHERRY today unveiled its new System-on-Module (SoM), the TIGER SOM-RK3588-Q7, engineered to deliver exceptional computational performance, the ability to connect multiple high-resolution cameras, deep learning capabilities, and state-of-the-art security functions.
Core features of the TIGER SOM-RK3588-Q7:
TIGER SOM-RK3588-Q7 is based on Rockchip’s high-end, low-power SoC RK3588, featuring an octa-core CPU with four ARM Cortex-A76 and four ARM Cortex-A55, an ARM Mali-G610 GPU, and an NPU with up to 6 TOPs.
The CPU enables both ARM Cryptographic Extension for wire-rate AES cryptography and Advanced SIMD vector processing.
Equipped with a triple-core NPU, the module supports multi-task and multi-scenario operations based on deep learning frameworks including TensorFlow, Caffe, Pytorch and others. It is ideally suited for real-time object detection and scene recognition in various applications.
Four MIPI CSI interfaces provide native support for cost-effective high-resolution cameras.
Featuring an optional Secure Element certified to EAL6+ and a secure boot mechanism guaranteeing that only signed images can run on the device, the SoM ensures government-grade security for the identification and storage of keys. This enables cloud services such as remote software management and preventive device management to be rendered while maintaining the highest level of cybersecurity.
Dr. Stefan Roth, Managing Director of CHERRY Embedded Solutions, states, “TIGER SOM-RK3588-Q7 is part of our SoM series, which has been specially designed to meet the needs of demanding intelligent mobile IoT applications. Developed and manufactured in Austria, it perfectly combines reliability, performance, and cost-efficiency. Numerous hardware and software customization options ensure optimum tailoring to the individual requirements of our customers.”
TIGER is particularly suited for demanding applications in areas such as computer vision.
Typical use cases include:
Autonomous Mobile Robots: Empower robots with the ability to navigate complex environments autonomously.
Video Surveillance: Enhance security systems with advanced processing capabilities for real-time analysis.
Smart Displays: Drive intelligent, high-resolution display solutions with superior image processing technology, voice and gesture control.
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