您的成像系统是否已为物联网部署做好准备？

电子

我们即将进入被普遍称为物联网（IoT）的时代。
通过这种关键的启用技术，可以以几年前难以想象的方式在各种不同类型的电子硬件之间传输有价值的数据。
这可能包括从自动售货机到家用电器，从健身器材到智能电表的日常用品。
物联网看起来注定要彻底改变家庭自动化，工业控制，医疗保健和其他一系列应用。
成像数据的捕获和处理将在很大一部分物联网实现中发挥不可或缺的作用。
如果工程师要在其支持物联网的设计中添加一个完全有效的成像元素，那么他们必须注意技术和商业问题。
几种市场条件，使用模式和新协议的采用的影响为这种现象铺平了道路。
IPv6的快速普及（提供更多可用IP地址，允许更多设备连接到互联网），无处不在的无线接入点，以及更少耗电和可靠的无线协议构成物联网网络建立的基础
未来几年。
关于有线数据传输，所偏爱的协议主要是USB和以太网。
关于无线数据传输，它变得有点复杂，因为诸如Wi-Fi，蓝牙LE，ZigBee和Z-Wave等已建立的协议将由ANT +，Thread和6LoWPan等新兴协议补充。
由于图像传感器的结构比过去更紧凑，因此它们现在更容易集成。
这在物联网成像实施中非常重要，在许多情况下，这些实施肯定会有空间限制来处理。
在过去几年中，单位成本也大幅下降。
此外，现在进入市场的新一代图像传感器表现出更高的灵敏度水平和更好的分辨率。
结果，在任何给定的价格范围内可以看到图像质量的显着改善。
在实施物联网成像系统时，必须认真考虑将要传输的数据量。
这是因为必须确保，首先采用的通信标准具有足够的带宽，其次，数据传输不会太快耗尽电池。
带宽和功率限制意味着建议尽可能无法实时获取视频数据。
如果处理和决策可以远程执行而不是必须将数据传递给操作员以便他们对其进行分析然后判断适当的操作 - 这在某些情况下这将是不可避免的，这是非常有益的。
还必须考虑将使用哪个云平台来访问所获取的IoT成像数据。
主要选项目前是Amazon Web Services，Google Cloud和Microsoft Azure。
通常，将成像系统集成到物联网硬件中的工程师几乎没有相关的经验可供借鉴。
知识渊博的成像系统设计人员可能仍然需要应对紧迫的期限和资源不足，从而阻止他们从头开发物联网成像系统。
在许多情况下，采购现成的解决方案可能是最好的方法。
找到一个真正的物联网就绪成像解决方案可能会很困难，因为一些声称这种解决方案的解决方案实际上缺乏必要的集成简易性或制造商提供足够高的技术支持。
如果物联网成像要在明年真正起飞，那么需要使用具有性能，成本和便利性的正确组合的成像平台。
要了解有关物联网应用解决方案的更多信息，请参观本周在旧金山举行的物联网世界大会上的安森美半导体展位。
展位号263。

以上来自于谷歌翻译

以下为原文

We are about to enter the era of what is being universally referred to as the Internet of Things (IoT). Via this key enabling technology it will be possible to transfer valuable data between all manner of different types of electronic hardware in a way that would have been unimaginable only a few years ago. This could include everyday products from vending machines to domestic appliances, from gym equipment to smart meters. IoT looks destined to revolutionize home automation, industrial control, healthcare and a raft of other applications. The capture and processing of imaging data will have an integral part to play in a large proportion of IoT implementations. If engineers are going to add a fully effective imaging element into their IoT-enabled designs then there are both technical and commercial issues that they must be aware of.

The influence of several market conditions, usage patterns, and adoption of new protocols have paved way for this phenomenon. The rapid adoption of IPv6 (providing a vastly greater number of available IP addresses allowing more devices to be connected to the internet), more ubiquitous wireless access points, and less power hungry and reliable wireless protocols form the foundation on which IoT networks will be built over the coming years. In relation to wireline data transfer, the protocols favored will mainly be USB and Ethernet. In relation to wireless data transfer, it gets a little more complicated as established protocols like Wi-Fi, Bluetooth LE, ZigBee and Z-Wave will be complemented by emergent ones like ANT+, Thread and 6LoWPan.

Since images sensors are much more compact in construction than they were in the past, they are now far easier to integrate. This is of great importance in IoT imaging implementations, which in many cases are certain to have space constraints to deal with. Unit costs have also been driven down substantially over the last couple of years. Furthermore, the new generation of image sensors now entering the market exhibit enhanced sensitivity levels and better resolutions. As a result there is a marked improvement in image quality being witnessed within any given price bracket.
When implementing an IoT imaging system serious consideration must be given to the quantity of data that will be transferred. This is because it must be assured that, firstly the communication standard employed has enough bandwidth and secondly that the data transfer will not drain the battery too quickly. Bandwidth and power limitation mean it is recommended that whenever possible video data is not acquired in real time. It is of great benefit if the processing and decision making can be executed remotely rather than data having to be passed back to an operative in order for them to analyze it and then subsequently judge the appropriate action – though in some circumstances this will be unavoidable.
Thought must also be given to which cloud platform will be utilized for accessing acquired IoT imaging data. The main options are currently Amazon Web Services, Google Cloud and Microsoft Azure.
Often engineers involved in the integration of an imaging system into IoT hardware have very little relevant experience to draw upon. Imaging system designers who are more knowledgeable may still have to contend with tight deadlines and inadequate resources, thus preventing them from developing an IoT imaging system from scratch. In many cases the sourcing an off-the-shelf solution is likely to be the best approach.
Finding a truly IoT-ready imaging solution can prove difficult as some solutions which claim this actually lack the necessary ease of integration or a high enough degree of technical support from the manufacturer. If IoT imaging is to really take off in the coming year then imaging platforms need to be used that have the right combination of performance, cost and convenience.
To learn more about our solutions for IoT applications, stop by the ON Semiconductor booth this week at the Internet of Things World Event in San Francisco. Booth #263.

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