In edge AI development, hardware selection often determines the fundamental stability and development timeline of a project. To help developers bypass lengthy parameter comparisons, this article will break down key technical points in just 3 minutes, providing an in-depth look at the Forlinx Embedded FET1126-S SoM. Designed based on Rockchip RV1126BJ, this module is specifically engineered to overcome performance bottlenecks and optimize power efficiency for on-device AI deployment. This guide enables a swift evaluation of how well the solution fits project requirements.

Click above to explore the FET1126BJ-S SoM in detail

Overview of FET1126BJ-S Key Features

To enable rapid evaluation of hardware compatibility, the four core technical advantages of this Rockchip RV1126BJ-based System-on-Module (SoM) in edge AI applications are summarized:

• Balanced Performance & Power: 3 TOPS @ INT8 AI computing power, capable of running 2B-parameter models locally, with low-power design suitable for portable and embedded devices.
• Complete Software Ecosystem: Comprehensive BSP support, compatibility with mainstream frameworks, enabling quick onboarding for beginners and shorter development cycles.
• Powerful Vision Processing: Commercial-grade hardware delivering industrial-grade performance, requiring no customization, with controllable mass production costs.
• Industrial-Grade Reliability: Wide operating temperature range (-40℃ to 85℃), electromagnetic interference resistance, suitable for extreme environments such as factory floors and outdoor applications.

1 Minute to Lean Key Specifications

• Core AI Performance: Built-in independent NPU with 3 TOPS @ INT8 computing power, supporting mixed-precision operations and Transformer model optimization. Capable of running 2B-parameter LLMs and multimodal models locally, eliminating cloud dependency, and well-suited for diverse edge AI scenarios.
• Processor Performance: Rockchip RV1126BJ quad-core ARM Cortex-A53, up to 1.6GHz, ensuring smooth multitasking.
• Image Processing: VPU supports 4K@30fps H.264/H.265 hardware decoding, AI-ISP supports 8M@30fps input with denoising, HDR, etc., without consuming NPU resources.
• Storage & Size: LPDDR4 memory (1/2/4GB optional), eMMC storage (8/16/32/64GB optional). Commercial-grade chips cover wide-temperature range; compact 40mm × 40mm form factor, combined with stamp hole and LGA connectors, featuring 237 pins for excellent expandability, saving space in end devices.

1 Minute to Learn Application Scenarios

Forlinx Embedded FET1126BJ-S SoM avoids ''over-engineering'' and focuses on precise fit for mainstream use cases, ensuring every advantage translates into practical applications across popular smart domains:

• Smart Security: Suitable for IP cameras, facial access control systems. Leveraging 3 TOPS AI power to perform real-time facial recognition and anomaly detection without cloud dependency. Fully compatible with offline facial recognition SDK, widely applied in subway facial access and smart community systems.
• Smart Industry: Embedded in industrial inspection equipment, utilizing rich industrial bus interfaces and AI computing for defect detection and equipment failure prediction.
• Smart Construction Sites / Campuses: Paired with edge terminals to enable safety detection (e.g., helmet compliance, intrusion detection) with fast local inference for timely alerts, ensuring construction and campus safety.
• Automotive Aftermarket: Wide-temperature and low-power characteristics make it ideal for dashcams, driver behavior analysis, and other in-vehicle terminals, ensuring stable operation.

Final Minute: Why Choose Forlinx Embedded?

While many RV1126BJ-based solutions exist in the market, for developers focused on project implementation, hardware is just the beginning—reliable ecosystem support and long-term supply are the real necessities:

• Simplified Development: Pre-installed Linux 6.1 OS, complete BSP packages, compatibility with TensorFlow, PyTorch, and other mainstream frameworks. Includes RKNN toolkit and AI algorithm examples, eliminating the need to develop drivers or port models from scratch, significantly shortening R&D cycles.
• Industrial-Grade Quality Assurance: All Forlinx Embedded products undergo rigorous industrial environment testing in labs to ensure stable, reliable quality, with 10–15 years longevity and guaranteed long-term supply.
• Proven Industry Expertise: With 20 years of embedded technology experience, Forlinx Embedded serves over 40,000 enterprise clients worldwide. As a professional supplier with in-house smart manufacturing lines and full-chain R&D capabilities, Forlinx offers not just SoMs, but end-to-end support from development evaluation to mass production.

OK—just 3 minutes!

Centered on the Rockchip RV1126BJ processor, the Forlinx Embedded FET1126BJ-S SoM delivers a balanced combination of computing power, energy efficiency, reliability, and cost-effectiveness. It is an optimal choice for edge AI deployment, suitable for both entry-level developers and enterprises scaling to mass production across a variety of popular smart application scenarios.