The dawn before dawn, where are the opportunities for domestic 24GHz millimeter wave sensors?
Since the concept of AIoT was proposed, the demand for its perception layer to become intelligent is destined to promote the development of traditional sensors into intelligent sensors that can sense and recognize. As millimeter wave sensing technology has been used by many industry-leading manufacturers in smart sensors and high-end equipment in recent years, the continuous research and development of millimeter wave chips, combined with the mass production verification of multiple products, has allowed the cost of millimeter wave chips to be significantly reduced. reduce. Solution providers and equipment manufacturers that hold a wait-and-see attitude have also turned to the practical action of "using millimeter wave sensing as soon as it is available".
In order to make millimeter wave sensors simple and easy to use, Silicon Microelectronics recently released the self-developed ICL1112 SoC chip, which is the world's first μA-level 24GHz single-transmit single-receiver millimeter wave sensor chip. The chip adopts a fully integrated CMOS architecture and peripheral elements. Few components, ultra-low power consumption (55μA) and super long-range detection capability (>150m) make sensors and terminals easier to deploy.
In addition, the ICL1122 SoC with single transmitter and two receivers has angle detection information and is more suitable for ultra-long-distance detection scenarios: such as obstacle avoidance detection of smart two-wheelers in emerging applications, and detection of two-wheelers such as food delivery trucks and motorcycles. The rear and front of the car have added obstacle avoidance and anti-collision warning functions. In indoor and outdoor scenarios such as parks and road tests, the long-distance detection capability of more than 150 meters allows security monitoring and traffic detection applications to be intelligently improved.
Reposted from: International Electronic Commerce, automatically translated by Google