Method for transporting an object (Ps-x) to a target point, wherein at least one optically detectable feature and at least one transport attribute are predetermined, the transportation comprises a first decision process and at least one further subsequent decision process about the respective continuation of the transportation, the first decision process comprises the automatically performed steps in which - a first computer-accessible image (Abb-x1) of the object (Ps-x) is generated, - for each predetermined feature a measurement is taken for the first time to determine the value which said feature assumes for the object (Ps-x), for which the at least one first object image (Abb-x1) is evaluated, - for each transport attribute a measurement is taken to determine the value (Add-x) which said transport attribute assumes for the object (Ps-x), - a data record is generated for the object (Ps-x) and is stored in a data memory, wherein the data record comprises a vector (RMV-x) with the measured feature values and the at least one measured transport attribute value (Add-x), and - the first decision process is taken as a function of the at least one measured transport attribute value (Add-x), the object (Ps-x) is transported further as a function of the outcome of the first decision process, the further decision process comprises the automatically performed steps in which - a further computer-accessible image (Abb-x2) of the object (Ps-x) is generated, - for each predetermined feature a new measurement is taken to determine the value which said feature assumes for the object, for which the further computer-accessible object image (Abb-x2) is evaluated, - the data record generated for said object (Ps-x) and stored in the data memory is determined, for which the measured feature value vector (IMV-x) measured during the new measurement is used to search for the data record in the data memory, - the at least one transport attribute value (Add-x), which is comprised of the determined data record, is determined, and - the further decision process is taken as a function of the at least one determined transport attribute value (Add-x) and the object (Ps-x) is transported further as a function of the outcome of the further decision process, wherein after the first measurement and before the new measurement the surface of the object (Ps-x) is provided with at least one optically detectable element (St-x, W-x), characterised in that for the step of providing the surface with the optically detectable element (St-x, W-x) - a predetermined computer-accessible localisation of the position of the element (St-x, W-x) on the surface of the object (Ps-x) and - a predetermined computer-accessible pattern (Mu-x) of the element (St-x, W-x) are used, the feature value vector (RMV-x) generated during the first decision process and stored as part of the data record is generated such that for every feature said feature value vector (RMV-x) contains that value which the feature would assume for the object (Ps-x) if the surface of the object (Ps-x) had already been provided with the optically detectable element (St-x, W-x) during the first measurement, wherein for the step of generating said feature value vector (RMV-x), the position localisation and the element pattern are used, and at least one further image (Abb-x2), which is evaluated for the new measurement, is generated by the object (Ps-x) provided with the element (St-x, W-x). - a first computer-accessible image (Abb-x1) of the object (Ps-x) is generated, - for each predetermined feature a measurement is taken for the first time to determine the value which said feature assumes for the object (Ps-x), for which the at least one first object image (Abb-x1) is evaluated, - for each transport attribute a measurement is taken to determine the value (Add-x) which said transport attribute assumes for the object (Ps-x), - a data record is generated for the object (Ps-x) and is stored in a data memory, wherein the data record comprises a vector (RMV-x) with the measured feature values and the at least one measured transport attribute value (Add-x), and - the first decision process is taken as a function of the at least one measured transport attribute value (Add-x), - a further computer-accessible image (Abb-x2) of the object (Ps-x) is generated, - for each predetermined feature a new measurement is taken to determine the value which said feature assumes for the object, for which the further computer-accessible object image (Abb-x2) is evaluated, - the data record generated for said object (Ps-x) and stored in the data memory is determined, for which the measured feature value vector (IMV-x) measured during the new measurement is used to search for the data record in the data memory, - the at least one transport attribute value (Add-x), which is comprised of the determined data record, is determined, and - the further decision process is taken as a function of the at least one determined transport attribute value (Add-x) and - a predetermined computer-accessible localisation of the position of the element (St-x, W-x) on the surface of the object (Ps-x) and - a predetermined computer-accessible pattern (Mu-x) of the element (St-x, W-x)