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Blog Perusahaan Tentang Mingjiada Acquisitions of Ambarella’s CV Series and Rockchip’s RK3588 AI Chips to Empower Autonomous Driving, Robotics, and Smart Security Applications

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Mingjiada Acquisitions of Ambarella’s CV Series and Rockchip’s RK3588 AI Chips to Empower Autonomous Driving, Robotics, and Smart Security Applications
berita perusahaan terbaru tentang Mingjiada Acquisitions of Ambarella’s CV Series and Rockchip’s RK3588 AI Chips to Empower Autonomous Driving, Robotics, and Smart Security Applications

Mingjiada Electronics Announces Acquisition of AI Chips from Ambient Scientific and Other Brands to Fully Empower Edge Computing and On-Device Intelligence Scenarios

 

Introduction: With the explosive growth of “AI in Everything” and Physical AI by 2026, demand for edge computing power is rapidly shifting from “general-purpose computing” to “specialized perception.” Shenzhen Mingjiada Electronics Co., Ltd. announced today that it is acquiring ultra-low-power AI perception chips from Ambarella, Rockchip, and other brands for the global market through a high-value cash transaction. This acquisition covers AI vision SoCs, edge-side audio NPUs, and ultra-low-power image sensors, aiming to provide global OEMs, ODMs, and solution providers with ample spot inventory and cost-optimized solutions to accelerate the commercialization of AI technology in intelligent driving, embodied robotics, and consumer electronics.

 

I. Focus on Edge Computing: Why Acquire These AI Chips?

The AI chip market in 2026 is characterized by a clear “polarization”: on one hand, there is a race for cloud-based large-model computing power; on the other, there is a strong demand for low-power, high-efficiency chips in edge computing (Edge AI). Mingjiada’s acquisition strategy precisely targets the latter, focusing on the following three key technological areas:

 

1. Ambarella CVflow Series: Redefining the Boundaries of Visual Computing Power

Mingjiada has been acquiring large quantities of Ambarella’s full range of CVflow AI SoCs over the long term, particularly the CV3, CV2, and CV7 series.

 

Technical Highlights: Utilizes advanced 4nm/5nm processes, integrates proprietary deep learning accelerators, and supports parallel processing of multiple 8Kp60 video streams.

 

Acquisition Background: As automotive electronic architectures evolve toward central computing units, inventory of previous-generation ADAS (Advanced Driver Assistance Systems) components needs to be cleared quickly to free up capital. Through cash acquisitions, Mingjiada helps upstream manufacturers liquidate assets while providing the downstream market with cost-effective CV2 series (such as CV22FS and CV72AQ) in stock.

 

2. Rockchip AIoT Series: The “Main Force” of Domestic Edge Computing

Targeting the booming domestic AIoT market, Mingjiada has prioritized the acquisition of flagship models including the RK3588, RV1126, and RK3568.

 

Technical Highlights: Features an NPU with up to 6 TOPS of computing power, supports Transformer architecture acceleration, and incorporates Rockchip’s proprietary independent AI-ISP.

 

Application Value: In industrial inspection and smart security applications, the RV1126 remains the “optimal solution” for stereo recognition and edge computing box solutions thanks to its 2.0 TOPS computing power and ultra-low power consumption.

 

3. Ultra-Low-Power Sensing Chips: Designed for “All-Weather” Smart Devices

In response to the surge in AR/VR and wearable devices, Mingjiada’s acquisition this time covers specific series from ST (STMicroelectronics), OmniVision, and Espressif.

 

Representative Models: ST VD55G4 global shutter sensor, Espressif ESP32-H4 series (supports Matter protocol).

 

Core Advantages: Enables “millowatt-level” wake-up and continuous sensing, addressing the pain point of short battery life in smart glasses.

 

II. AI Chip Deployment: Empowering Four Core Application Scenarios

By integrating AI computing resources from Ambarella, Rockchip, and international brands, Mingjiada is building a complete supply chain ecosystem spanning “visual perception,” “audio interaction,” and “industrial control,” primarily targeting the following high-growth scenarios:

 

Scenario 1: Advanced Autonomous Driving and Smart Cockpits (Automotive Electronics)

Featured Chips: Ambarella CV3-AD Series (AI Domain Controller), Rockchip RK3588M (Smart Cockpit).

 

Functionality: Leveraging the CV3 series’ sparse neural network performance of up to 500 eTOPS, it processes data from 11 or more cameras to achieve perception fusion for Level 3 autonomous driving. Meanwhile, the RK3588M uses multi-screen-on-a-single-chip technology to drive the instrument cluster, center console, and rear-seat entertainment screens, while its built-in NPU enables driver fatigue monitoring (DMS) and in-vehicle visual perception.

 

Scenario 2: Industrial Automation and Embodied Robotics

Supporting chips: Ambarella CV2 series, Rockchip RV1126/RK3568.

 

Functionality: In industrial machine vision, these chips are used for high-precision barcode scanning and defect detection (e.g., the CV2 series supports multi-camera synchronization). In the service robotics sector, these chips handle V-SLAM (visual navigation), obstacle avoidance, and multimodal human-machine interaction, enabling robots to “see clearly and move steadily.”

 

Scenario 3: Smart Security and AIoT

Supporting chips: Ambarella CV7 series (4nm), Rockchip RV1109/RV1103.

 

Functionality: The new-generation 4nm CV7 chip can run Transformer algorithms at extremely low power consumption, making it suitable for high-end PTZ cameras. Meanwhile, the RV1109, with its Blacklight Full-Color ISP and Quick-Start technology, is widely used in video doorbells and battery-powered IP cameras, enabling AI edge storage via SD card even in environments without Wi-Fi.

 

Scenario 4: Next-Generation Consumer Electronics (AR/VR and Smart Audio)

Supporting Chips: Espressif ESP32-S3, Juxin ATS3231 (Note: Mingjiada’s supply chain includes such AI audio chips), Ambarella CV22AX series.

 

Functionality: In AR glasses, these chips enable eye tracking and gesture recognition (processing rates up to 180 fps); in wireless gaming headsets, they utilize on-device AI NPUs to achieve 48 kHz ultra-high-definition call noise reduction, eliminating background noise such as keyboard typing and redefining the esports communication experience.

 

III. Mingjiada’s Service Advantages

Why choose Mingjiada for chip transactions?

Strong financial backing and legitimate channels: As an ISO9001-certified international distributor, Mingjiada supports on-site inspections worldwide, offers cash settlement, and provides flexible inventory solutions.

 

More than just purchasing—we provide scarce resources: Through our purchasing operations, Mingjiada has established a vast database of spot inventory. If you are facing shortages of specific Ambarella or Rockchip models (such as the discontinued CV25S series or the high-end RK3588), Mingjiada offers a “purchase + supply” two-way closed-loop service.

 

Technical Compatibility Support: For used or refurbished chips, Mingjiada has a professional testing team to ensure the chips are suitable for demanding environments such as industrial control and robotics R&D.

 

Conclusion

In 2026, amid a shortage of computing power and the accelerated iteration of chips, Mingjiada Electronics has played the role of an industry “reservoir” and “accelerator” through its precise acquisition strategy. Whether you are facing excess inventory or urgently need scarce AI chips, Mingjiada can provide you with professional, one-stop services.

Pub waktu : 2026-05-15 10:04:06 >> daftar berita
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