Abstract: A visual examining and training device includes a wearing unit that is suitable for wearing on a head of a user, that is configured to be disposed in front of the eyes of the user, and that has a main housing, and two lens adjusting units spacedly disposed in the main housing and each of which includes a lens carrier having a tubular member defining an inner space, a rotary lens holder assembly disposed in the inner space, two prisms coaxially disposed in the rotary lens holder assembly, a focal length adjusting lens disposed in the inner space spaced apart from the prisms, and a drive mechanism connected to the rotary lens holder assembly for driving the same together with the prisms to rotate. A control unit is signally connected to the drive mechanisms of the lens adjusting units for controlling operation of the same.

Abstract: An analysis method of lane stripe images, an image analysis device and a non-transitory computer readable medium thereof are provided to perform steps of: setting a reference point as a center to recognize the lane stripe image in a plurality of default directions; defining a plurality of preset sections onto the lane stripe image and determining a characteristic value of the lane stripe image in each of the preset sections whenever the lane stripe image is recognized in one of the default directions; determining a first feature parameter according to the characteristic values of the lane stripe image in the preset sections when the lane stripe image is recognized in at least one of the default directions; and determining an actual lane parameter of the lane stripe image according to at least the first feature parameter.

Abstract: An analysis method of lane stripe images, an image analysis device and a non-transitory computer readable medium thereof are provided to perform steps of: setting a reference point as a center to recognize the lane stripe image in a plurality of default directions; defining a plurality of preset sections onto the lane stripe image and determining a characteristic value of the lane stripe image in each of the preset sections whenever the lane stripe image is recognized in one of the default directions; determining a first feature parameter according to the characteristic values of the lane stripe image in the preset sections when the lane stripe image is recognized in at least one of the default directions; and determining an actual lane parameter of the lane stripe image according to at least the first feature parameter.