[ad_1]
The T30P is a near field sensing solution suitable for robotics or industrial applications, it is fast, accurate and provides high resolution data.
The T30P from Preact Technologies is a software-definable Flash LiDAR. It is one of the fastest Flash LiDAR manufacturers on the market, making it suitable for ground and air robotics or industrial applications. It is based on the continuous wave Time-of-Flight (ToF) technique that enables it to work in all weather conditions and detect objects even in the darkest of nights or in the most intense direct sunlight. The sensor when combined with image processing and machine learning can detect and track multiple objects simultaneously. The sensor has a wide field of view of 120° x 80° and a high operating frequency of 150Hz which makes it suitable for use in a pre-crash system to deploy the airbags before the impact even at speed which is more than 150kmph.
Light Detection and Radar (LiDAR) is a method of remote sensing. This technology is widely used in 3D mapping, LiDAR technology uses light from a laser to collect measurements. It is used to create 3D models and maps of objects and environments. LiDAR is one of the most common sensors used in self-driving cars, this technology allows the car to create a 3D map of its surroundings and use that data to create a path for the car.
The T30P is a near field sensing solution suitable for robotics or industrial applications, it is fast, accurate and provides high resolution data that can be used to describe and track objects in all environmental conditions. reliability. Preact’s TrueSense technology provides a wide field of view, even when operating at full frame rate, for excellent area coverage in a small, low-power package. In addition, the sensor is designed to provide the fast and accurate sensing capabilities needed to enable pre-crash systems. At a maximum speed of 150 fps (frames per second), the T30P can respond on time even when the car is moving at a speed of over 150 kph. This allows the airbags to deploy just in time before a crash, thus improving the safety of passengers and drivers.
[ad_2]
Source link