A hybrid pyramid multiprocessor vision machine has been built for automated object recognition which is vital for manufacturing automation. The machine consists of 512 one- dimensional single-instruction multiple-data (SIMD) array processors at the bottom and a 63- node transputer-based multiprocessor system on the top. This paper describes a Hierarchical Linear Generalized Hough Transform (H-LIGHT) and its implementation on the SFU hybrid pyramid. It is shown that the hierarchical algorithm improves the robustness of the pattern matching process and increases the efficiency in detecting objects in all possible orientations. It has great potential for real-time pyramidal implementation.