Abstract:
The present disclosure provides an object detection method including: pre-storing a lookup table of touch reference values, wherein the lookup table of touch reference values records a plurality of touch reference values associated with image positions of a plurality of calibration object images formed in calibration images captured by a first image sensor; capturing a first image, wherein the first image has at least an object image corresponding to a pointer formed therein; generating a first light distribution curve according to the first image; defining a first detection region in the first light distribution curve; obtaining at least one touch reference value associated with the object image using the lookup table of touch reference values; comparing at least one brightness value within the first detection region of the first light distribution curve with the at least one touch reference value obtained.
Abstract:
An optical lens is configured in front of an image-capturing lens of an image-capturing device. A light-emitting unit of the image-capturing device emits a light beam. The optical lens includes a pair of peripheral compensation portions and a central diverging portion. Each peripheral compensation portion has a first convex surface and a first concave surface arranged opposite to the first convex surface. The central diverging portion is arranged between the peripheral compensation portions, and has a second concave surface and an oppositely arranged light incident surface. The second concave surface is arranged between the first convex surfaces. The light incident surface is arranged between the first concave surfaces. The optical axis of the light beam sequentially aligns with the light incident surface and the second concave surface. The light rays of the light beam pass through the first concave surface and the first convex surface in sequence.