AI edge computing box becomes the first choice for intelligence
AI edge computing box is an intelligent device based on edge computing and artificial intelligence technology, also known as AI algorithm box or intelligent edge analysis all-in-one machine. This device highly integrates high-precision AI intelligent algorithms of computer vision, deep learning networks, and a video intelligent comprehensive management platform, which can push data processing and analysis capabilities to the nearest edge position to the data source, providing efficient data processing and real-time response.
AI edge computing box is an intelligent device based on edge computing and artificial intelligence technology, also known as AI algorithm box or intelligent edge analysis all-in-one machine. This device highly integrates high-precision AI intelligent algorithms of computer vision, deep learning networks, and a video intelligent comprehensive management platform, which can push data processing and analysis capabilities to the nearest edge position to the data source, providing efficient data processing and real-time response.
Its main functions include real-time data analysis and processing, as well as the use of artificial intelligence technology for fast and accurate analysis, and real-time output of analysis results. With built-in high-performance processors and professional AI chips, AI edge computing box has powerful computing power and can efficiently perform complex computing tasks such as image processing, speech recognition, natural language processing, etc. At the same time, it has the ability of real-time intelligent inference, which can perform model inference locally on the device without relying on cloud computing resources, so it can still maintain efficient work in environments with no network connection or poor network quality.
With many advantages, edge computing box has become the preferred solution for intelligent applications. Firstly, it has achieved self-developed localization, fully meeting the requirements of innovation and ensuring independent control, thereby greatly improving the reliability and safety of the product. Secondly, its compact size and excellent portability enable edge computing boxes to be flexibly deployed in various scenarios to meet the needs of different applications. In addition, the product also supports the reuse of cameras, effectively reducing equipment procurement costs and labor costs, saving users a lot of funds.
AI edge computing box can be used in many fields, such as security monitoring, intelligent transportation, smart home, industrial production, etc. Specifically, it can be used to monitor food safety and environmental hygiene in the catering industry, conduct real-time risk monitoring and identification of forest fire prevention, conduct pedestrian flow statistics and early warning in smart scenic areas, and monitor campus security. In addition, the AI edge computing box can also be customized and developed according to different application requirements to adapt to different scenarios and devices.
AI edge computing box is highly localized
The working mode of AI edge computing box mainly depends on its powerful computing and storage capabilities, which enables it to carry out real-time data processing, analysis and decision-making locally on the device, without excessively relying on cloud computing resources. From the perspective of composition structure, the AI edge computing box includes CPU, GPU, memory and storage, edge computing module, communication interface, camera, sensor, display screen, speaker and other peripheral interfaces.
At present, many AI edge computing boxes on the market use CPUs and GPUs from Intel, Nvidia, AMD, Qualcomm, MediaTek, etc. to provide computing power support. For example, Advantech and Pictorial have edge computing boxes that use NVIDIA Jetson series modules. NVIDIA Jetson is an embedded system designed by NVIDIA for the new generation of autonomous machines and is an AI platform. The performance and energy efficiency provided by the NVIDIA Jetson system can improve the running speed of autonomous machine software. Each system is a complete modular system (SOM) with CPU, GPU, PMIC, DRAM, and flash memory.
There are also many AI edge computing boxes using domestic chips. For example, Baidu has previously released Panyu AI edge computing box product - Panyu AIBOX-L01, which is based on the RK3576 chip recently released by Ruixin Microelectronics, and uses an industrial grade overall design to ensure its stable and reliable operation in various complex environments. Panyu AI edge computing box has more than 80 kinds of algorithm adaptation for cross industry real scenarios, which can effectively meet customers' local model computing needs.
Another example is British Code Technology, which has been committed to product innovation and technical practice of domestic edge computing. British Code Technology released a edge computing box - IVP03X intelligent workstation last year, which is equipped with the fourth generation AI processor BM1684X. Compared with the edge computing box of the previous generation BM1684 series, the overall performance of the English IVP03X has been greatly improved, and the model training and reasoning for different application scenarios on the edge have a smoother and more efficient application experience.
The English code IVP03X intelligent workstation can be widely used for AI intelligent video analysis and lightweight model training in fields such as smart cities, smart security, smart communities, and smart transportation.
There is also Nanwei Software, which previously stated that it is currently conducting technological research and innovation in the field of artificial intelligence, and has laid out computing power equipment, platforms, industry algorithms, and industry artificial intelligence applications. In terms of computing power, we integrate domestic AI chips and focus on the research and development of industry level edge intelligent computing devices, launching a series of Honghu edge intelligent computing box products.
This product adopts domestically produced AI chips with independent and controllable high computing power, applies lightweight edge technology engines, and is based on the company's self-developed algorithm, chip, and scene combination paradigm. It is equipped with the Star Luo algorithm engine, with built-in billion level datasets, thousands of recognition objects, and hundreds of application scenarios. By integrating core capabilities such as edge computing, storage, network, and application, it is widely used in public safety, smart cities, smart transportation, safe campuses, and other scenarios.
Write at the end
Compared with traditional edge computing boxes, AI edge computing boxes are different in function and application scope. Traditional edge computing boxes mainly focus on performing some basic computing and data processing tasks on edge devices to reduce the delay of data transmission and reduce the load on the central server.
The AI edge computing box goes further, integrating artificial intelligence (AI) technology into the edge computing environment. This box not only has the traditional edge computing function, but also can perform intelligent data processing and decision-making on edge devices. This enables AI edge computing boxes to bring a higher level of intelligence to edge scenes.