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Let's talk about 9 details from 3 dimensions. How to choose an edge computing box?

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Let's talk about 9 details from 3 dimensions. How to choose an edge computing box?

2024-03-29

With the booming development of artificial intelligence, the deployment of IoT devices and the arrival of 5G wireless technology, more and more emerging scenarios have put forward low-latency, low-bandwidth, localization, high-security, and low-cost processing requirements for intelligent applications. Including fields such as smart cities, smart finance, and smart campuses, as well as industries with strong data sensitivity such as smart transportation, smart factories, and smart medical care; through the deployment of edge computing devices, computing, storage, and intelligent analysis are placed close to the creation of data It can meet the demand for rapid processing and response to large amounts of data; at the same time, data does not need to be uploaded to the cloud, which not only reduces bandwidth costs, but also better protects the security of user data.


So, with hundreds of millions of long-tail scenario demands across hundreds of industries, how to choose the right edge device as an important carrier of edge computing AI applications?

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Important considerations when selecting edge computing boxes

Powerful computing power, data processing capabilities, as well as the advantages of data security, flexibility, and scalability make edge computing boxes the first choice edge device to meet the application needs of edge computing scenarios. Enterprises can choose from the following three dimensions according to project needs, 9 Choose the appropriate edge computing box based on every detail.


First of all, the top priority - the core performance of the product. Starting from the needs of the scene, edge computing boxes are mainly used in video surveillance scenarios in various fields. Through real-time processing and analysis of video streams, they provide more accurate decision support and efficient business efficiency; therefore, the amount of computing power, algorithm type, I /O scalability and operating temperature are key performance indicators that must be considered when selecting edge computing boxes.


Computing power: Computing power is productivity, which determines data analysis and processing capabilities, algorithm execution efficiency, and video access/processing capabilities. It should be noted that the greater the computing power, the better. Matching the scenario requirements is the optimal solution.


Algorithm: The type, quantity, and accuracy of the built-in algorithms in the edge computing box determine whether problems in actual application scenarios can be solved efficiently and cost-effectively. Therefore, it is necessary to consider whether the built-in algorithm of the selected device can meet the corresponding needs based on the scene requirements and data characteristics.


I/O scalability: Edge computing boxes usually need to connect to different types of external devices. Therefore, rich I/O interfaces can better realize scenario applications, make full use of old equipment, and reduce deployment costs.


Working temperature: Edge computing boxes are usually deployed in public places such as shopping malls, airports, stations, etc. Edge computing boxes usually need to be able to operate stably at ambient temperatures of -20°C to 60°C. The wider the temperature range, the more conducive it is to the equipment. stability.


Secondly, an important consideration is the ease of use of the product. In addition to the hard-core indicators of the product, the balance of the product's appearance design, power consumption and heat dissipation is also very important.


Consumption and heat dissipation: In terms of heat dissipation, the fanless, all-metal appearance is more conducive to product heat dissipation. At the same time, products with lower power consumption can reduce energy consumption and reduce operation and maintenance costs. Therefore, choosing products with low power consumption and high heat dissipation performance is more stable and durable.


Appearance design: The appearance design of the product will also affect the convenience of use. Choosing an appearance design with smooth surroundings and no protrusions is more conducive to the deployment and maintenance of the equipment.


Finally, project implementation guarantee-the strength of product and service providers. Project demand docking, implementation technical support, product supply stability, service response speed, etc. are important guarantees for the project to be implemented quickly and at low cost. Therefore, those who choose the edge computing field have rich product research and development experience and practical experience in project implementation. service providers are particularly important.


Technical support: Comprehensive development toolkit, strong system compatibility, and enterprise-specific technical support can help projects to be implemented efficiently.


Stability of supply: Try to choose service providers with a high degree of localization and rich industry accumulation.


Service guarantee: Focus on whether the service provider's service response speed is fast enough and the professionalism of the service.


Yingma Technology—easy-to-use domestic edge computing box

Yingma Technology has been deeply involved in the field of edge computing for many years, providing multi-platform, multi-level computing power, and easy-to-deploy edge computing boxes for all scenarios. It has more product, platform resource and technology advantages in the industry.


Multi-platform, stable supply: Yingma Technology has cooperated with many domestic mainstream chip platforms to launch a full range of domestic edge computing boxes, such as Huawei HiSilicon, Shengteng, Computing, Cambrian and other domestic mainstream platforms. There are many platforms to choose from. The supply is stable.


Multi-level computing power: Yingma Technology's edge computing boxes cover low, medium and high-level computing power from 2T to 38T, meeting the needs of different levels of computing power in fragmented scenarios.


The following is the edge computing box matrix launched by Yingma Technology: