A method for detecting whether a camera is interfered, comprising: acquiring a first image collected at a first moment by a camera, wherein the first image is a color image; graying the first image; and detecting, according to acuity of the first image after the graying and information entropy of the first image after the graying, whether the camera is interfered at the first moment; wherein if the camera is not interfered at the first moment, the method further comprises: acquiring a second image collected at a second moment by the camera, wherein the second moment is any moment after the first moment; and detecting, at least according to a degree of similarity between the second image and a reference image, whether the camera is interfered at the second moment, wherein the reference image is an image when the camera is not interfered; wherein the detecting, at least according to a degree of similarity between the second image and a reference image, whether the camera is interfered at the second moment comprises: calculating the degree of the similarity or a degree of dissimilarity between the second image and the reference image; and determining, according to the degree of the similarity or the degree of the dissimilarity between the second image and the reference image, whether the camera is interfered at the second moment; or comprises: calculating the degree of the similarity or a degree of dissimilarity between the second image and the reference image, and the acuity value difference between the second image and the reference image; and determining, according to the degree of the similarity or the degree of the dissimilarity between the second image and the reference image and according to the acuity value difference between the second image and the reference image, whether the camera is interfered at the second moment; wherein: the calculating the degree of the similarity or a degree of dissimilarity between the second image and the reference image comprises: splitting the second image into a predefined number of image blocks; calculating a hash fingerprint of each image block of the second image; calculating a Hamming distance between each image block of the second image and a corresponding image block of the reference image according to the hash fingerprint of each image block of the second image and a hash fingerprint of the corresponding image block of the reference image; and obtaining the degree of the similarity or the degree of the dissimilarity between the second image and the reference image at least according to the Hamming distance between each image block of the second image and the corresponding image block of the reference image. acquiring a first image collected at a first moment by a camera, wherein the first image is a color image; graying the first image; and detecting, according to acuity of the first image after the graying and information entropy of the first image after the graying, whether the camera is interfered at the first moment; acquiring a second image collected at a second moment by the camera, wherein the second moment is any moment after the first moment; and detecting, at least according to a degree of similarity between the second image and a reference image, whether the camera is interfered at the second moment, wherein the reference image is an image when the camera is not interfered; calculating the degree of the similarity or a degree of dissimilarity between the second image and the reference image; and determining, according to the degree of the similarity or the degree of the dissimilarity between the second image and the reference image, whether the camera is interfered at the second moment; calculating the degree of the similarity or a degree of dissimilarity between the second image and the reference image, and the acuity value difference between the second image and the reference image; and determining, according to the degree of the similarity or the degree of the dissimilarity between the second image and the reference image and according to the acuity value difference between the second image and the reference image, whether the camera is interfered at the second moment; the calculating the degree of the similarity or a degree of dissimilarity between the second image and the reference image comprises: splitting the second image into a predefined number of image blocks; calculating a hash fingerprint of each image block of the second image; calculating a Hamming distance between each image block of the second image and a corresponding image block of the reference image according to the hash fingerprint of each image block of the second image and a hash fingerprint of the corresponding image block of the reference image; and obtaining the degree of the similarity or the degree of the dissimilarity between the second image and the reference image at least according to the Hamming distance between each image block of the second image and the corresponding image block of the reference image.