In this paper, a concept for a solar-blind ultraviolet (SB-UV) photodetector for detecting and analyzing a hydrogen flame as a high-speed object with massive parallel processing is proposed. A two-dimensional (2D) UV photodetector together with the readout and edge detection circuits is fabricated as an optoelectronic integrated circuit (OEIC). The edge detection circuit extracts the edge of the object using the outer vertebrate retina network and produces binary images. The binary images are sent to the field-programmable gate array (FPGA). To reduce the dimensions of the binary image from two dimensions into one dimension, the projection histogram circuit is implemented in the FPGA. The edge locations of the projections are processed to generate information such as object presence, object speed, object direction and object spreading status. At this current stage, a personal computer (PC) is used to generate the binary images of a moving object to simulate the output of the OEIC. The implemented system in the FPGA achieved a real-time performance at 71 frames/s for 250 × 250 pixels with the PC.