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FH8852
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ManufacturerJLCPCB Assembly
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Mfr. Part #FH8852
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In Stock3606
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Specifications
| Attribute | Value |
| Manufacturer | JLCPCB Assembly |
| Package | 88 QFN(10mm x 10mm) |
Overview
Description
Key features include:
- H.265/H.264/JPEG encoding
- Smart encoding (e.g., ROI, SVC)
- Low power consumption
- Dual-stream output
- Wide temperature range operation
It integrates ISP (Image Signal Processing) for enhanced image quality and supports AI-based functions like motion detection. The FH8852 is widely used in smart security, IoT, and edge computing applications due to its reliability and cost-effectiveness.
For detailed specs, refer to Fullhan’s official documentation.
Equivalent
- HiSilicon Hi3516D: Similar performance, widely used in IP cameras.
- Ambarella S2L: Offers better encoding efficiency.
- NXP i.MX6: A versatile multimedia processor.
- Texas Instruments DM368: Good for high-quality video processing.
These chips provide comparable video encoding/decoding and ISP capabilities. Choose based on specific project needs.
Features
- AI Acceleration: Integrates a neural processing unit (NPU) with up to 4 TOPS (Tera Operations Per Second) for efficient AI inference.
- CPU: Dual-core ARM Cortex-A55 for general processing.
- ISP: Advanced image signal processor supporting 4K@30fps HDR processing.
- Video Encoding: H.265/H.264 encoding at 4K@30fps.
- Low Power: Optimized for edge devices with typical power consumption under 3W.
- Connectivity: Supports PCIe, USB, Ethernet, and MIPI interfaces.
- Security: Built-in hardware encryption (AES/SHA/RSA) for secure data processing.
- Applications: Ideal for smart cameras, drones, robotics, and IoT edge AI devices.
Its compact design and AI capabilities make it suitable for real-time vision and embedded AI tasks.
Pinout
Key functions include:
- Dual-core ARM Cortex-A7 for general processing.
- Neural Network Accelerator (0.5 TOPS) for AI tasks.
- Supports 4K@30fps H.265/H.264 video encoding/decoding.
- Interfaces: MIPI CSI, Ethernet (RMII), USB 2.0, SPI, I2C, UART, PWM, GPIO.
- DDR3/DDR4 memory support.
It is commonly used in IP cameras, smart displays, and edge AI devices.
Manufacturer
Application
1. Smart Cameras – For video surveillance, facial recognition, and behavior analysis.
2. Edge Computing – Enabling real-time AI processing in IoT devices.
3. Automotive ADAS – Supporting driver assistance systems like lane detection and collision warning.
4. Industrial Automation – Enhancing machine vision for quality control and robotics.
5. Smart Retail – Enabling customer tracking and inventory management.
Its low-power design and strong AI acceleration make it ideal for embedded vision applications.