The author saw an article "Your smart hardware, is it also missing a leg", impressed with the two sentences inside, "Only information input, no information processing analysis and input hardware, not called intelligent hardware, can only "Networking hardware", "Maybe the machine knows more about nature, but people will know more about people." I can't help but tickle. I want to take a look at some of the experiences in this field. I want to throw bricks here to attract jade. I also welcome you. Guest shot bricks.
A few years ago, this group of people actually did not make hardware, but a pure software platform for remote monitoring. Later, based on the platform, the big data acquisition monitoring and early warning software based on the Internet of Things was developed. At that time, more security was considered. Sex, compatibility, stability, reliability, completed this in 2013. How does the software relate to smart hardware?
After the completion of the development, everyone felt that it was necessary to collect the data through the front-end hardware, so that intelligent analysis and early warning were valuable. At that time, our understanding of the hardware was blank. At that time, I thought about falling into the sky and coming in hardware. . I remember that a book recommended by a friend at that time inspired us a lot. That is the work of Chris Anderson, the author of "Long Tail Theory" and "Free", "Creator-New Industrial Revolution". At that time, I knew, oh There is also a group of people called "Creator". The original hardware can also be open source. From that moment, we realized that the hardware will not have too high a threshold. Through the open source motherboard, for example: Arduino development board, maker They should be able to enter the hardware field at a lower cost, develop robots, 3D printers, etc., which are becoming less difficult.
Our group of people have also done some things with open source hardware, like the current PM2.5 air detection device, heart rate detection equipment, etc., several people can quickly complete the prototype development, the average development cycle is less than 2 weeks. A lot of "smart" hardware in the market is also derived from the infrastructure design and development of open source hardware "open source motherboard + sensor", open source hardware will greatly promote the innovation and launch speed of hardware products.
Today, we have also done some practice in this field by upgrading the IoT big data acquisition and monitoring platform to a smart hardware cloud computing platform, and working with traditional medical device manufacturers on this platform to develop some medical fields. Smart hardware. For example, Siqi Anyun intelligent sphygmomanometer can upgrade traditional sphygmomanometer to intelligent sphygmomanometer based on medical cloud service at low cost and speed. The front-end hardware cost is low enough, and the intelligent algorithm can be continuously improved and upgraded in the cloud. Will continue to learn, improve the algorithm, and then integrate into human experience and analysis, it will become more and more intelligent, more and more human, so that the data collected by the hardware can be more intelligent analysis and judgment. In the future, similar cloud computing platforms will become more and more perfect, enabling people to upgrade traditional hardware in the shortest time, make traditional equipment intelligent, and the day when various intelligent hardware emerges in an endless stream.
Open source will also bring some problems. For example, more and more hardware developers do not take the time to consider more software intelligence algorithms and human factors, and they are quick and quick, and soon launch various "smart" hardware, a simple Networking hardware (open source motherboard plus a Bluetooth module) or a combination of open source motherboard and sensor, such hardware, can be called smart hardware? Maybe you can change your mind to see how smart hardware is smart. The combination with cloud computing may be a good way. Can more software intelligence algorithms and human factors be solved in the cloud? The front end is a data acquisition hardware (which can minimize the size and cost), and the data is transmitted to the cloud through various network communication methods. The intelligent algorithm is processed in the cloud to see if NEST is also such a thought. The title of the article "Your smart hardware, is it also missing a leg", think that the current smart hardware is not missing a leg, but a lack of a brain.
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