An object collision prediction method, wherein the method is applied to a computing device, the computing device is located in an object comprising a photographing unit, and the method comprises: controlling the photographing unit to shoot a first image and a second image at a first moment and a second moment respectively, wherein the first image and the second image each comprise a to-be-detected target and the object, and the second moment is later than the first moment; measuring a first distance between the object and the to-be-detected target in the first image and a second distance between the object and the to-be-detected target in the second image, wherein the measuring a first distance between the object and the to-be-detected target in the first image and a second distance between the object and the to-be-detected target in the second image comprises: obtaining two-dimensional borders of the to-be-detected target in the first image and the second image; and measuring the first distance between the object and the two-dimensional borders of the to-be-detected target in the first image and the second distance between the object and the two-dimensional border of the to-be-detected target in the second image, and wherein when a distance between each pixel of a lower edge of the two-dimensional border of the to-be-detected target and the object is different, a shortest distance between a pixel comprised in the lower edge of the two-dimensional border of the to-be-detected target and the object is used as a distance between the object and the two-dimensional border of the to-be-detected target in the image; and predicting, based on values of the first distance and the second distance, whether the object collides with the to-be-detected target. controlling the photographing unit to shoot a first image and a second image at a first moment and a second moment respectively, wherein the first image and the second image each comprise a to-be-detected target and the object, and the second moment is later than the first moment; measuring a first distance between the object and the to-be-detected target in the first image and a second distance between the object and the to-be-detected target in the second image, wherein the measuring a first distance between the object and the to-be-detected target in the first image and a second distance between the object and the to-be-detected target in the second image comprises: obtaining two-dimensional borders of the to-be-detected target in the first image and the second image; and measuring the first distance between the object and the two-dimensional borders of the to-be-detected target in the first image and the second distance between the object and the two-dimensional border of the to-be-detected target in the second image, and wherein when a distance between each pixel of a lower edge of the two-dimensional border of the to-be-detected target and the object is different, a shortest distance between a pixel comprised in the lower edge of the two-dimensional border of the to-be-detected target and the object is used as a distance between the object and the two-dimensional border of the to-be-detected target in the image; and predicting, based on values of the first distance and the second distance, whether the object collides with the to-be-detected target. obtaining two-dimensional borders of the to-be-detected target in the first image and the second image; and measuring the first distance between the object and the two-dimensional borders of the to-be-detected target in the first image and the second distance between the object and the two-dimensional border of the to-be-detected target in the second image, and wherein when a distance between each pixel of a lower edge of the two-dimensional border of the to-be-detected target and the object is different, a shortest distance between a pixel comprised in the lower edge of the two-dimensional border of the to-be-detected target and the object is used as a distance between the object and the two-dimensional border of the to-be-detected target in the image; and predicting, based on values of the first distance and the second distance, whether the object collides with the to-be-detected target.