search
HomeTechnology peripheralsAIApplication of environmental CV technology in new generation IoT systems

环境 CV 技术在新一代物联网系统中的应用

Today, computer vision (CV) technology is at an inflection point, with major trends converging to make cloud technology ubiquitous in tiny edge AI devices optimized for specific uses , these devices are usually battery powered.

Advances in technology address specific challenges that enable these devices to perform complex functions natively in constrained environments, including size, power and memory. This cloud-centric AI technology is extending to the edge, and new developments will make AI vision at the edge ubiquitous

Understand the technology

CV technology is indeed at the edge, and is Implement the next level of human machine interface (HMI).

Context-aware devices can not only sense the user, but also the environment in which the user is located, allowing them to make better decisions and achieve more useful automated interactions.

For example, a smartphone can visually sense a user's attention and adjust its behavior and power strategy accordingly. This is useful for saving power (turning off the device when no user is detected), improving security (detecting unauthorized users or unwanted "lurkers"), and provides a smoother user experience. In fact, by tracking the gaze of bystanders (bystander detection), the technology can further alert the user and hide the screen content until the user is unobstructed

Another example: Smart TVs can sense whether someone is watching and where to watch it from, then adjust the image quality and sound accordingly. It can automatically shut down to save power when no one is present. Air conditioning systems optimize power and airflow based on room occupancy to save energy costs.

The emergence of home offices and hybrid working models has made instances of smart energy utilization in buildings and other instances more financially important

The applications of this technology are not limited to televisions and personal Computers also play a vital role in manufacturing and other industrial fields. For example, in terms of safety supervision, it can be used for object detection, predictive maintenance and manufacturing process control, such as the enforcement of restricted areas, safe passages and protective equipment. Agriculture is also another area that can benefit from vision-based situational awareness technology, such as crop inspection and quality monitoring

Applications of Computer Vision

Advances in deep learning have enabled many amazing Things are possible in computer vision. Many people don’t even know how they use computer vision technology in their daily lives. For example:

• Image classification and object detection: Object detection combines classification and localization to identify objects in an image or video and specify their location in the image. It applies classification to different objects and uses bounding boxes. CV works through mobile phones and can be used to identify objects in images or videos.

Banking Industry: CV is widely used in areas such as fraud control, identity verification, data extraction, etc. to enhance customer experience, enhance security and improve operational efficiency

Retail Industry: By developing computers Vision systems are used to process this data, making digital transformation of real industries more accessible, such as self-checkouts

Self-driving cars: Computer vision is used in detecting and classifying objects (such as road signs or traffic lights) and creating 3D maps. Or play a key role in motion estimation, thereby realizing the realization of self-driving cars

Edge CV

Visual processing based on machine learning has an obvious trend in the edge field. Hardware costs continue to fall, computing power increases significantly, and new methods require less power and memory to train and deploy small-scale models. These factors have lowered the barriers to adoption of edge AI technology and facilitated its use. But even as we see more and more ubiquitous micro-AI, there is still work to be done. To make ambient computing a reality, we need to serve long-tail use cases in many market segments, which can create scalability challenges.

In consumer products, factories, agriculture, retail and other fields, each new task requires a different algorithm and a unique data set to train on. Solution providers offer more development tools and resources to create optimized ML-enabled systems to meet specific use case needs.

TinyML

TinyML is a key enabler of all types of artificial intelligence at the edge. This is an approach to developing lightweight and energy-efficient ML models directly on edge devices by leveraging compact model architectures and optimized algorithms.

TinyML enables AI processing to occur locally on the device, reducing the need for constant cloud connectivity. In addition to lower power consumption, the TinyML implementation reduces latency, enhances privacy and security, and reduces bandwidth requirements.

Additionally, this enables edge devices to make real-time decisions without over-reliance on cloud infrastructure, making AI more accessible and practical in a variety of applications, including smart devices, wearables Equipment and industrial automation. This helps address feature gaps and enables AI companies to upgrade software around their NPU products by developing a rich set of model examples - a "model zoo" - and application reference code

In this way, they can optimize the appropriate algorithms for the target hardware to solve specific business needs within determined cost, size and power consumption constraints, thus supporting a wider range of long-tail applications while ensuring design success.

The above is the detailed content of Application of environmental CV technology in new generation IoT systems. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:51CTO.COM. If there is any infringement, please contact admin@php.cn delete
物联网技术架构的最高层是什么物联网技术架构的最高层是什么Aug 23, 2022 am 10:48 AM

物联网技术架构的最高层是应用层;应用层处于物联网三层架构最顶层,应用层基于物联网技术提供丰富的物联网应用,对不同的行业有着不同的应用结果,实现不同行业物联网的智能运用是物联网技术的根本目标。

物联网的三层结构是什么物联网的三层结构是什么Jul 01, 2022 pm 02:58 PM

物联网的三层结构是:1、感知层,主要完成信息的采集、转换和收集;该层结构解决的是人类世界和物理世界的数据获取问题,由各种传感器以及传感器网关构成。2、网络层,又称传输层,主要完成接入和传输功能,是进行信息交换、传递的数据通路,包括接入网与传输网两种。3、应用层,解决的是信息处理和人机界面的问题;网络层传输来的数据在这一层里进入各类信息系统进行处理,并通过各种设备与人进行交互。

go语言可以写物联网吗go语言可以写物联网吗Dec 28, 2022 pm 04:46 PM

可以写。在物联网领域,用Golang可以高效的接入并管理数以百万的设备;并使用Golang的各种前沿技术实时分析数据并创建数据报告。用Golang开发物联网平台的原因:1、Go的三个作者能力强;2、Go的性能仅次于C/C++;3、入门非常快,大多程序员1-2周都可以上手;4、并发特性好;5、能兼容大量的硬件设备;6、有良好的社区支持;7、可用干净的代码帮助开发人员加快速度。

边缘人工智能(Edge AI)能为我们做些什么?边缘人工智能(Edge AI)能为我们做些什么?Apr 09, 2023 pm 02:11 PM

人工智能 (AI) 是一种分散式计算,它允许设备在与用户交互的最近点做出以数据为主导的决策。这种技术的好处包括改善隐私和节省成本,但数据通常在处理后被丢弃。即将到来的进步,包括 5G 技术和成本更低的处理芯片,将使边缘人工智能对某些应用越来越有用——从智能家居设备到医疗技术。想象一下,您希望您的新智能恒温器能够快速调高温度,以便在异常寒冷的一天下班回家后,您的房子会变得温暖。您从智能手机连接并要求它采取行动。您不会知道,但该操作可能需要几秒钟,因为它将您的请求发送到云并接收返回的指令。现在再想象

物联网和人工智能将如何改变医患关系?物联网和人工智能将如何改变医患关系?Apr 14, 2023 am 11:01 AM

医疗保健从来都不是一个容易讨论的话题。无论是在医生的办公室还是在舒适的家里,谈论健康都会让人不知所措。大多数人都不喜欢去看医生。对医生发现问题的焦虑或不好意思问问题是人们更愿意在预约时的部分原因。再加上初级保健医生与患者相处的时间略多于15分钟,因此没有足够的时间来讨论问题或深入研究任何测试结果。我们通常只在每年一次的医生就诊时讨论自己的健康状况。所以签到很重要,但它们只提供了正在发生的事情的一个快照。我们没有每天监控自己健康状况的习惯,也没有远程监控的习惯。持续跟踪患者的生命体征有助于患者及医

利用人工智能解决石油和天然气排放挑战利用人工智能解决石油和天然气排放挑战Apr 08, 2023 pm 05:51 PM

随着应对气候危机的持续努力,以及海湾合作委员国家会致力于实现未来净零碳排放的强大势头,油气公司的当务之急变得前所未有的重要。从区域上看,油气行业通过直接上游、中游和下游(范围1)、间接能源(范围2)和其他间接排放(范围3),占整个油气行业温室气体排放量的9%。仅仅向低碳替代能源过渡还不足以确保所需的减排,而永久解决这一问题需要与一种不同于其他技术的有影响力的技术——人工智能(AI)相结合。尽管净零路线伴随着即时的时间限制,但油气公司可以在乐观的情况下采用以技术为主导的方法。毕竟,在最近的突破性行

物联网的核心技术是什么物联网的核心技术是什么Jul 28, 2022 am 11:29 AM

物联网的核心技术是:1、射频识别技术,通过无线电信号识别特定目标并读写相关数据的无线通讯技术;2、网络通信技术,机器与机器之间能够在无人为干预的情况下进行及时的通信和操作;3、GPS技术,可以和无线通讯技术相结合,在物流智能化、智能交通中占据重要作用;4、计算机技术,检测数据后上传至环境监控云平台就是运用了计算机技术;5、传感器技术,可以应用在测试领域、智慧农业领域等等。

物联网中物与物、物与人之间的通信是什么方式物联网中物与物、物与人之间的通信是什么方式Aug 16, 2022 pm 03:25 PM

物联网中物与物、物与人之间的通信方式是综合利用有线和无线二者通信;物联网是指通过各种信息传感器、射频识别技术、全球定位系统、红外感应器、极光扫描器等各种装置与技术,实现物与物、物与人的泛在连接,实现对物品和过程的智能化感知、识别和管理。

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
Repo: How To Revive Teammates
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

Safe Exam Browser

Safe Exam Browser

Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool