Abstract: An image calibration system and an image calibration method thereof. The image calibration system includes an image capture module capturing a calibration image, first and second calibration tools comprising first and second calibration graphs respectively and a processing module calculating first and second calibration templates in the calibration image based on the first and second calibration graphs, and comparing the calibration image and the first and second calibration templates so as to obtain at least one locating point.

Abstract: A bird-view image capture system and a bird-view image capture method thereof. The system comprises a plurality of image capture modules, a processing module, a compositing module and a display module. Therein, each of the plurality of image capture modules captures an image respectively. The processing module analyzes the plurality of images to get a plurality of first images and a plurality of second images. The processing module converts the plurality of first images and the plurality of second images respectively to get a plurality of inboard images and a plurality of outboard images. The compositing module composes the plurality of inboard images and the plurality of outboard images as a plurality of compositing images. The compositing module composes each compositing image to produce a bird-view image. The display module displays the bird-view image.

Abstract: An image capturing device applied in a vehicle and an image superimposition method thereof. The image capturing device comprises an image capturing module, a processing module and an image superimposition module. The processing module dynamically controls a sampling time of a plurality of temporary images captured by the image capturing module according to driving information of the vehicle. The image superimposition module superimposes feature regions in the temporary images to produce at least one superimposed image based on the driving information of the vehicle.

Abstract: A blind spot detection alert system. The system comprises two image capturing modules, a processing module, a first display module and a second display module. The two image capturing modules capture a right image and a left image respectively. The first display module is disposed on the right of the second display module. The processing module receives the right image and the left image to analyze a car moving direction. When the processing module determines the car moving direction is a right direction, the first display module displays the right image. When the processing module determines the car moving direction is a left direction, the second display module displays the left image. The processing module calculates a distance to a coming car, a moving direction of the coming car and a speed of the coming car according to the image to get an alert message.

Abstract: A blind spot detection system and method thereof applicable to a transportation vehicle. The blind spot detection system comprises a plurality of detection modules, a processing module and a display module. When the transportation vehicle moves at a speed less than a predetermined speed or at a stop moving state, each detection module is used to detect a plurality of blind spot images around the transportation vehicle. The processing module is connected to each detection module and used to receive the plurality of blind spot images and execute an image processing for detecting and identifying a moving object in the plurality of blind spot images, and to generate a mark pattern corresponding to the moving object. The display module is connected to the processing module and used to display the plurality of blind spot images and the mark pattern in a blind spot display mode.

Abstract: An obstacle detection system and a method thereof The obstacle detection system comprises an object detection module used to generate a detected distance and a detected direction of a external obstacle; a camera module used to capture a camera image including an obstacle image; a calculation module used to calculate a first region for the obstacle image in the camera image; and an object search module used to execute a first image processing on the camera image within the first region to obtain the obstacle image. If no obstacle is found within the first region, the calculation module is used to calculate a second region. The object search module is used to execute a second image processing within the second region to obtain the obstacle image.