Abstract: Detection arrangement and method for detecting presence of a residue in a sample include determining color values of the sample, associated with the L*a*b color model. A value of a composite parameter Z is calculated as follows: A=wL+waa+wbb where wL, wa and wb are weighting factors having a value depending on the residue and the sample. A determination is made whether or not the sample comprises more or less than a predetermined amount of the residue in dependence on the value of the composition parameter Z. In a preferred embodiment, the arrangement is used to detect antibiotic residues, e.g. penicillin-G, in food products, elg. Milk, or body fluids, e.g. blood, urine.

Abstract: Method and arrangement to locate an object with a predetermined number of marks, the arrangement comprising a light source, a sensor and a processor, by means of the following steps:—illuminating the object with the light source;—receiving an image of the object and generate image pixel data including image pixel locations and image pixel intensities for each image pixel location with said sensor;—receiving the image pixel data and storing them in a memory;—comparing said image pixel intensities with a predetermined threshold;—determining object position based on said comparing;—using a digital match mask that corresponds with said object with said marks;—finding a best match between said digital match mask and said object on said object position;—determining mark positions within said object position from said best match.

Abstract: Method and arrangement to locate an object with a predetermined number of marks, the arrangement comprising a light source, a sensor and a processor, by means of the following steps:—illuminating the object with the light source;—receiving an image of the object and generate image pixel data including image pixel locations and image pixel intensities for each image pixel location with said sensor;—receiving the image pixel data and storing them in a memory;—comparing said image pixel intensities with a predetermined threshold;—determining object position based on said comparing;—using a digital match mask that corresponds with said object with said marks;—finding a best match between said digital match mask and said object on said object position;—determining mark positions within said object position from said best match.