Today’s Live Broadcast | What exactly is the ToF technology that Huawei and OV are competing for?
The principle of ToF (Time of Flight) technology is: by continuously sending light pulses to the target, and then using a sensor to receive the light returned from the object, the distance of the target object is obtained by detecting the flight (round-trip) time of these emitted and received light pulses.
When traveling to Australia, seeing kangaroos is one of the things to look forward to, but Australians are not so happy about it. They are deeply troubled by kangaroos coming to their homes as "guests". Automatic doors equipped with ToF applications can quickly identify "non-human" features and keep kangaroos out.
In addition, ToF has many other cool applications that allow machines to “see”, such as 3D crowd counting, electronic fences, and assisted driving functions that detect pedestrians or obstacles at different distances. Even the mobile phones we are familiar with, such as Huawei, OPPO, and VIVO flagship models, are equipped with ToF components to improve shooting performance.
In this live broadcast, ADI's senior engineers will introduce the working principle of ToF technology, the challenges and solutions of module and system design. At the same time, they will also explain in depth the significance of various parameters and specifications in ToF applications, as well as share and demonstrate representative application examples, presenting you with a comprehensive ToF audio-visual feast.
ToF (Time of Flight) Technology Introduction and Product Application
April 25 (Today) 10:00 am
-11:30 am
Long press the QR code below and fill in the information to sign up for the live broadcast
Liu Xianjie
System Application Manager of Consumer Products, ADI Asia Pacific
He is mainly responsible for market technology recommendations and support for consumer products such as ToF/capacitive sensors/audio products and consumer application sensors, as well as new product definitions. After joining ADI's consumer product team in 2011, he was responsible for the development of capacitive sensors and their software and hardware applications, optical proximity and gesture recognition sensor module development, and ToF depth sensor system, module and application development.
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