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OK3568-C EVK Unboxing Experience and Basic Function Evaluation
This comprehensive review of the Forlinx Embedded OK3568-C EVK covers command line function tests, factory interface experience, and video and SQLite database tests.
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How to Use and Test the 4G Module on the OK3588-C EVK?
Learn how to use and test the 4G module on Forlinx Embedded OK3588-C EVK, including Gobinet/QMI-WWAN/PPP Dialing and Qualcomm MSM Interface.
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How to Install OpenCV on Forlinx OK3588-C EVK?
Learn how to install OpenCV on Forlinx OK3588-C EVK for efficient image and video processing using this step-by-step guide.
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Evaluation of CAN-FD on Multi-core Heterogeneous Architecture
Learn about the advantages of CAN-FD over CAN2.0 in high-speed communication on a multi-core heterogeneous architecture using Forlinx OKMX8MP-C EVK with NXP i.MX8M Plus.
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Innovative and Promising i.MX91 SoM Is Coming
Forlinx, as NXP's Gold Partner, introduces i.MX91 SoC - an optimized blend of security, scalability, features, and performance for IoT and Industrial applications, showcasing the strength of their collaboration.
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Forlinx Embedded Makes Embedded World China(Shanghai) Debut!
Forlinx Embedded showcased their SoMs and solutions at Embedded World China, demonstrating our technology innovation and commitment to industrial development.
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How Does the Forlinx OK3588-C Development Board Implement Cross-Domain Video Surveillance?
Learn how to implement a video distribution system using Tornado framework, OpenCV library, and WebSocket protocol for real-time communication and web page display.
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How Does the OK3588-C Arm Motherboard Implement Face Detection?
Implement face detection on RK3588 development board with OpenCV for video surveillance, achieving accurate results with efficient computing power.
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How to Configure Network for OK3588-C Development Board?
Learn how to configure NIC on Forlinx RK3588 development board for network connection and internet access using static and dynamic configuration.
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How to Transform and Test the Inference Model of Forlinx RK3588 Development Board?
Learn about RKNN, a deep learning inference framework for embedded devices that enables real-time inference and object detection on resource-constrained devices. Follow our guide to transform and test your models on Forlinx OK3588-C development board.
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