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Practical Tutorial: Running 32-Bit Applications on RK3568 Development Board
Learn how to compile and run 32-bit applications on the Forlinx RK3568 development board using a 32-bit cross-compiler and runtime libraries.
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From Beginner to Advanced: How to Choose the Rockchip RK Series SoM?
Compare Forlinx RK3506J, RK3562J, and RK3576 SoMs to choose the right Rockchip-based solution for your industrial, AI, or edge computing project.
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Forlinx Embedded Debuts at the 9th Rockchip Developer Conference
Forlinx showcases cutting-edge AIoT solutions at RKDC 2025, featuring RK3588, RK3576, and more. Explore AI demos for industrial, energy, and smart education.
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CAN and CAN-FD Performance Evaluation of the Forlinx RK3506J SoM
Evaluate the CAN and CAN-FD performance of Forlinx’s RK3506J SoM. Industrial-grade, reliable, high-speed communication for automation and embedded systems.
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Forlinx Embedded to Debut at the 9th Rockchip Developer Conference
Forlinx Embedded debuts at RKDC 2025, showcasing RK3588, RK3576 AI demos, and edge AI innovations for smart devices and AIoT product development.
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RK3588-based Intelligent Security Gateway Solution: Enabling Closed-loop Multi-channel Video AI Inference and Real-time Streaming
Forlinx's RK3588-based gateway enables 8K video decoding and real-time AI inference for smart surveillance, ideal for edge AI and industrial security systems.
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From Entry-level to High-performance: Selection Guide for Allwinner T Series SoMs
Explore how to choose between Forlinx’s Allwinner T-Series SoMs—FET113i-S, FET527N-C, and FET536-C—based on performance, interfaces, and industrial use.
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3.6Mbps Stable Bandwidth: Analysis of the 8-channel CAN-FD Technical Solution for the Forlinx Embedded T536 SoM
8-channel CAN-FD solution powered by Forlinx T536 SoM for real-time, high-bandwidth battery monitoring in EVs, industrial control, and smart grids.
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AI System for Intelligent Lifespan Prediction of Lithium-ion Batteries Driven by RK3588: Application of CNN + LSTM Fusion Algorithm
Accurate lithium-ion battery RUL prediction using CNN+LSTM on Forlinx RK3588 SoM with fast AI inference and low power consumption for edge deployment.
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FreeRTOS Design Routine Based on i.MX9352 Development Board M Core
FreeRTOS examples on i.MX 9352 Cortex-M33 with Forlinx OK-MX9352-C board, covering tasks, queues, timers, semaphores, and UART peripheral integration.
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