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RV1106G3
+БОМ-
ПроизводительРокчип
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Мфр. Часть #RV1106G3
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Лист данных RV1106G3 DataSheet
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В наличии7089
365 Дни гарантии качества
7*24 часы обслуживания каранти
90-гарантия послепродажного дня
Гарантия подлинного продукта
Спецификации
| Атрибут | Ценность |
| Manufacturer | Rockchip |
| Package | QFN-128(12.3x12.3) |
Обзор
Description
Key features include:
- RISC-V + Cortex-A7 hybrid architecture
- 0.5 TOPS NPU for AI workloads
- 4K@30fps H.265/H.264 encoding
- Low power consumption (ideal for battery-powered devices)
- Rich interfaces (USB, Ethernet, SPI, I2C, etc.)
Applications include smart cameras, AIoT devices, industrial control, and embedded vision systems. Its efficiency and AI capabilities make it suitable for cost-sensitive, power-constrained edge AI deployments.
Equivalent
- HiSilicon Hi3516DV300 (similar AI capabilities)
- Amlogic A311D (AI & multimedia focus)
- NXP i.MX 8M Plus (edge AI & vision)
- MediaTek Genio 1200 (AIoT & edge computing)
These chips offer comparable AI acceleration, multimedia processing, and low-power performance for embedded and edge devices.
Pinout
- Dual-core CPU (Cortex-A7 + Cortex-M4)
- NPU (0.5 TOPS AI acceleration)
- Video processing (H.264/H.265 encoding/decoding)
- Interfaces: SPI, I2C, UART, PWM, GPIO, USB 2.0, Ethernet MAC
- Memory support: DDR3/DDR3L/LPDDR3, NAND/NOR Flash
It targets smart cameras, edge computing, and embedded AI devices.
Manufacturer
Rockchip is known for producing cost-effective, low-power processors used in tablets, smart TVs, automotive infotainment, and AI applications. The RV1106G3 is part of their vision processing SoC lineup, optimized for AI-powered cameras and edge computing.
Founded in 2001 and headquartered in Fuzhou, China, Rockchip collaborates with global tech firms but operates primarily in the Asian market. Their chips often compete with offerings from Allwinner and Amlogic.
Application
1. Smart Cameras – AI-powered surveillance, facial recognition.
2. Industrial IoT – Predictive maintenance, automation.
3. Smart Home Devices – Voice assistants, security systems.
4. Automotive – ADAS, in-vehicle infotainment.
5. Edge Computing – Low-latency AI processing.
6. Drones & Robotics – Navigation, object detection.
Its key strengths include AI acceleration, low power consumption, and strong multimedia processing.