Blog Perusahaan Tentang Mingjiada Electronics Supplies AI Vision Processor Chips: Empowering Edge Intelligence, Covering All Scenarios from Security and Industry to Robotics

As artificial intelligence accelerates its shift from the cloud to the edge, demand for edge-based AI vision processing continues to surge. Shenzhen Mingjiada Electronics Co., Ltd. (hereinafter referred to as ‘Mingjiada Electronics’) has specialised in the distribution of electronic components for nearly thirty years. The company is certified to ISO 9001:2014 and ISO 14001:2014, maintains a stock of over 2 million SKUs, and comprehensively supplies AI vision processor chips from major brands, covering diverse applications such as security surveillance, industrial automation, intelligent robotics, smart cities and autonomous driving.

I. Key Application Scenarios for AI Vision Processor Chips

AI vision processor chips serve as the core computing engines for edge intelligence devices. Their primary application scenarios include:

1. Smart Security and Smart Cities

AI vision processors are most widely used in the security surveillance sector, covering scenarios such as high-definition network IP cameras, smart PTZ cameras, facial recognition turnstiles, access control and attendance systems, and perimeter security. In smart city development, AI vision chips support real-time analysis of multiple high-definition video streams, human figure recognition, number plate recognition, anomaly detection alerts and scene semantic analysis, enabling unmanned intelligent security management. The TI AM69A series can even support the simultaneous connection and processing of more than 16 high-definition cameras, making it suitable for large-scale smart city surveillance systems and edge AI servers.

2. Industrial Automation and Machine Vision

Against the backdrop of Industry 4.0, AI vision chips are widely used in scenarios such as visual quality inspection on factory production lines, industrial inspection robots, AGV autonomous navigation equipment, and precision manufacturing process management. The Renesas RZ/V2H series utilises the DRP-AI3 dedicated AI accelerator and is positioned as a high-end edge vision computing platform, suitable for fields such as industrial machine vision, autonomous mobile robots (AMRs) and factory automation. Rockchip’s RV11 series chips are widely used in industrial vision, smart barcode scanners, high-precision surveying and mapping equipment, and other applications.

3. Intelligent Robots and Drones

AI vision processors serve as the ‘visual hub’ for robots and drones. Ambarella’s CV series chips support core robotic functions such as stereo vision processing, keypoint extraction, neural network inference and visual odometry. Allwinner Technology’s robot-specific chips, such as the MR527 and MR536MX-N3Z, integrate a heterogeneous computing architecture comprising CPU, GPU, NPU and MCU, enabling efficient support for SLAM/VSLAM algorithms and helping robots achieve precise navigation and obstacle avoidance. The Qualcomm Yuelong series, meanwhile, is designed for industrial drones and AMRs, delivering up to 77 TOPS of computing power.

4. Intelligent Driving and In-Vehicle Assistance

AI vision chips also play a key role in the field of intelligent driving. The Ambarella CV3-AD series is positioned as the flagship automotive AI domain controller, supporting urban NOA, motorway piloting and automated parking. The CV72S is equipped with an Oculii™ virtual aperture radar hardware acceleration unit, enabling heterogeneous fusion processing of camera and millimetre-wave radar data. Furthermore, AI vision chips are widely used in smart cockpit applications such as driver monitoring systems (DMS) and electronic rear-view mirrors (CMS).

5. Smart Home and AIoT Devices

In the consumer and IoT sectors, AI vision chips power smart doorbells and locks, smart home control panels, unmanned retail terminals and wearable devices. The Yizhi SV series is positioned around the core principles of ‘in-depth scenario specialisation, high cost-effectiveness and low power consumption’, covering the needs of multiple scenarios such as smart security, smart home and in-vehicle assistance.

II. Mingjiada’s Core AI Vision Processor Chip Models

Mingjiada Electronics has established a comprehensive matrix of AI processor chips covering data centres, edge computing and embedded devices. The core vision processor models are as follows:

(1) Ambarella CVflow® Series – Leader in Edge AI Vision Perception

Ambarella specialises in the design of edge AI vision chips, and its CVflow architecture maintains industry-leading AI performance per watt. Mingjiada stocks the full range of Ambarella CVflow® architecture AI SoCs:

N1 Series: N1-A0-RH 5nm process, 16-core Cortex-A78AE, capable of locally deploying a 34B large model on a single chip Industrial autonomous robots, edge AI computing boxes, smart medical imaging terminals

CV7 Series: CV72S, CV75S 5nm process, radar-vision fusion, Oculii™ virtual aperture radar acceleration Intelligent transport, industrial inspection robots, AGV navigation, in-vehicle ADAS

CV5 Series: CV5S, CV52S 5nm process, 8K ultra-high definition, capable of simultaneously processing 4 channels of 4K@30fps Urban security, transport hub surveillance, high-end drone aerial photography

CV2 Series: CV2S, CV22S, CV2FS Classic high performance, CVflow AI engine, optional lightweight automotive-grade version Mainstream security, industrial vision, robotic vacuum cleaners

CV25 Series: CV25S 10nm process, quad-core A53, native 4K@30fps High-definition network IP cameras, factory vision quality inspection, building access control

CV28 Series: CV28M 10nm ultra-low power consumption, dual-core A53, lightweight AI engine Battery-powered smart devices, passive compact terminals

CV3-AD Series: CV3-AD685/655/635 Flagship automotive AI domain controller Urban NOA, motorway pilot, automated parking

(2) Rockchip RV11 Series – A Cost-Effective Choice for AI Vision

The Rockchip RV11 series is a range of high-performance, low-power processors designed specifically for AI vision, smart security and IoT terminals:

RV1103/RV1103B: Single-core Cortex-A7 + MCU 0.5 TOPS Basic smart vision devices

RV1106/RV1106B: 4K ultra-low-power AI image processor 0.5 TOPS Smart cameras, IoT terminals

RV1126B: Quad-core Cortex-A53 3 TOPS Mid- to high-end AI vision, supports multi-camera stitching

(3) Renesas RZ/V Series – Vision AI MPU

The Renesas RZ/V series integrates a proprietary DRP-AI (Dynamic Reconfigurable Processor) accelerator, designed specifically for low-power, high-efficiency real-time AI vision processing:

RZ/V2H: Seven-core heterogeneous architecture comprising four Cortex-A55 cores, two R8 cores and one M33 core, with a DRP-AI3 accelerator (8 TOPS for dense operations, 80 TOPS for sparse operations), suitable for industrial machine vision, AMRs and intelligent inspection

RZ/V2N: Quad-core Cortex-A55, DRP-AI3 accelerator, supporting up to 15 TOPS of AI performance

RZ/V2L: Dual-core Cortex-A55 + DRP-AI, entry-level AI vision MPU, suitable for security and robotics

(4) Allwinner AI SoC Series

V853: 22nm process, dual-CPU (Arm Cortex-A7 + RISC-V E907), 1 TOPS NPU, high-performance edge AI vision processing

MR527/MR536MX-N3Z/MR813: AI SoCs dedicated to robotics, supporting precise SLAM/VSLAM navigation

T736MX-HN3/T536MX-CEN2: Industrial-grade AI chips, 12nm process, 3 TOPS NPU

(5) Intel Movidius™ Series – Dedicated Vision Processing Units

Movidius Myriad X (MA2085/MA2485): 16nm process, neural network computing engine, over 1 TOPS of deep learning inference performance, designed specifically for edge vision applications

Movidius Myriad 2 (MA2155): 28nm process, 12 SHAVE vector processor cores, suitable for security surveillance, drones and smart cameras

(6) EEASYTECH On-Device Vision AI SoC Series

SV Series (Smart Security): SV822, SV822D, SV822H, SV823, SV823C, SV826, SV830, etc., with computing power ranging from 0.5 T to 1.5 TOPS

SA Series (Smart In-Vehicle), SH Series (Smart Hardware): covering in-vehicle assistance and smart hardware scenarios

(7) AI Vision Chips from Other Leading Brands

Mingjiada also supplies a diverse range of products, including the NVIDIA Jetson series (AGX Orin, Jetson Nano, etc., with flexible computing power ranging from 5 to 275 TOPS), the Qualcomm Yuelong series (Q-8750, IQ series, etc., industrial-grade wide temperature range), and the TI AM62A/AM68A/AM69A series (supporting 16 or more high-definition cameras).

III. Mingjiada Electronics’ Supply Advantages

Drawing on nearly three decades of industry experience and long-term partnerships with over 500 global semiconductor manufacturers, Mingjiada Electronics possesses the following core advantages:

Genuine Product Guarantee: All chips are factory-sealed products, accompanied by complete traceability documentation and quality inspection reports

Extensive Stock: Covering a wide range of scenarios from small-batch prototyping and medium-batch trial production to large-scale mass production

Global Network: Branches established in Shenzhen, Hong Kong, Japan, Russia, Taiwan and other locations

To obtain the latest quotations for AI vision processor chips or product enquiries, please visit the Mingjiada Electronics website (https://www.integrated-ic.com/) or contact their sales team directly.