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Overview
Applications
Industry Challenges
Our Solution
Core Capabilities
Customer Value
Overview
End-to-End AIoT Solutions
In the era of booming generative AI, large language models (LLMs) are becoming a core technology driving the implementation of use cases such as AI programming, intelligent customer service, and AI-powered office work. However, these powerful AI capabilities usually rely on cloud computing resources and are difficult to deploy efficiently on resource-constrained edge devices. Leveraging its leading wireless SoC technology and edge computing optimization capabilities, Fanlun Information Technology has partnered with Volcano Engine and its Doubao large model to build truly end-to-end AIoT solutions. Through innovative chip architecture and optimized algorithms, we can enable high-quality voice interaction and AI conversation on a single on-device chip, allowing intelligent terminal devices to deliver a smooth user experience without fully relying on powerful cloud computing, and bringing revolutionary changes to fields such as consumer electronics, smart homes, and industrial IoT.
Applications
Industry Challenges
Difficult Edge-Cloud Collaboration
Most edge AI devices are constrained by limited compute and cannot efficiently process large-model requests without stable, high-speed connectivity.
Disjointed Interaction Experience
Traditional voice assistants often respond slowly, with delays above one second, and handle multi-turn conversations poorly.
Power vs. Performance Trade-Off
Turning on AI functions dramatically increases power consumption and can cut the battery life of portable devices by more than 60%.
High Development Barrier
Integrating large models usually requires a specialized AI team, making costs too high for many small and mid-sized manufacturers.
Poor Voice Recognition Quality
In ordinary noisy environments above 50 dB, recognition accuracy can fall below 60%, severely damaging the user experience.
Fragmented Solutions
Hardware, algorithms, and cloud services often come from different vendors, making integration and troubleshooting difficult.
Heavy Cost Pressure
High-quality AI interaction often requires extra co-processors, increasing BOM cost by 30% to 50%.
Our Solution
End-to-End AIoT Solutions
Fanlun's end-to-end AIoT solution is built around its edge-side wireless SoC chip series and deeply integrates the capabilities of Volcano Engine's Doubao large model, enabling efficient edge-cloud collaboration through a three-tier architecture. The edge layer uses three chips with built-in dedicated AI acceleration units, supporting local voice wake-up and 3A algorithms (echo cancellation, noise suppression, and automatic gain control), with a wake-up response time of <300 ms; even in a 65 dB environment, speech recognition accuracy remains above 85%. The network layer optimizes the WebRTC protocol stack to deliver a full-duplex conversational experience with end-to-end latency <400 ms, and ensures service continuity through an automatic recovery mechanism after network disconnection. The cloud layer deeply integrates the Doubao large model and, using model compression and quantization technologies, compresses a 1-billion-parameter model into a lightweight version suitable for edge-side invocation while retaining over 95% of its core capabilities. The multimedia development framework adopts a modular design, allowing developers to integrate functions as plug-ins on demand, greatly reducing development complexity. The entire solution can be implemented on a single chip without additional DSP, reducing BOM cost by 40% and bringing truly practical and cost-effective AI capabilities to smart devices.
Core Capabilities
01Professional Hardware Platform
Multiple SoC Options: Multiple edge-side SoCs are offered, including a dual-core 240 MHz AI-accelerated variant, a RISC-V dual-core 400 MHz HMI-optimized variant, and a Wi-Fi 6 + multi-protocol support variant, meeting the needs of different scenarios.
Dedicated AI Acceleration: Built-in NPU delivers up to 256 GOPS of speech recognition compute power and supports INT8/FP16 mixed-precision computing.
Rich Peripheral Interfaces: Supports a full range of IoT peripherals, including RGB LCD, camera, microphone array, touch sensor, and more.
Ultra-Low Power Design: Adopts an innovative low-power coprocessor, with a standby current of only 10 µA and voice standby power consumption reduced by 85%.
Reliable Connectivity: Wi-Fi 6 technology provides a theoretical rate of 1.2 Gbps, while anti-interference algorithms ensure 99.9% connection stability.
02Software and Ecosystem Support
Multimedia Development Framework: Pre-integrated with 30+ audio/video processing modules that can run independently and support flexible insertion of various algorithms.
Doubao Large Model SDK: Requires only 5 lines of code to invoke the large model, covering the complete ASR + LLM + TTS voice interaction pipeline.
3A Algorithm Integration: An all-in-one solution integrating Acoustic Echo Cancellation (AEC), Noise Suppression (ANS), and Automatic Gain Control (AGC).
Development Toolchain: Provides a complete IDE, debugging tools, and performance profiler, enabling beginners to complete prototype development within 2 weeks.
Mass Production Support Services: End-to-end support covering everything from design verification and production testing to certification and compliance.
Community and Documentation: Offers 100+ sample projects, detailed technical documentation, and a developer forum, with professional responses to issues within 48 hours.
Customer Value
Stronger Product Competitiveness
Advanced AI capability creates clear differentiation and improves overall market acceptance.
Much Shorter Development Cycles
The end-to-end solution reduces development time by about 80% and accelerates launch schedules.
A Major Leap in User Experience
Natural-language interaction replaces traditional button-based workflows and can improve user satisfaction by 40%.
Optimized Cost Structure
A single-chip architecture replaces multi-chip designs and reduces BOM cost by 30% to 40%.
Lower Technical Barrier
No dedicated AI team is required, reducing staffing cost and lowering the threshold for product development.
Expanded Commercial Value
Conversation-based value-added services create new revenue opportunities and improve customer lifetime value.
Stronger High-Tech Brand Image
AI-enabled products elevate premium positioning and improve pricing power.
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