To reduce the incidence of colorectal cancer (CRC), we propose a new paradigm of Wireless Capsule Endoscopy (WCE) that recognizes polyps in-situ. We embed an image processing chain in a System on Chip (SoC) that uses the Hough Transform as part of the processing to detect circles in High Definition (HD, 1920x1080) images. A circle here is a probable marker of colorectal cancer ; a polyp. Hough Transform is a widely used shape-based algorithm for object detection and localization. This technique can be generalized to circles. To embed the Hough Transform inside a WCE, considering real time execution and a limited area, several optimizations are necessary due to computational requirements. This paper presents an efficient, real-time architecture that can be integrated in an 8x8mm 2 embedded system of a HT algorithm for multi-circle detection. The architecture's area has been validated in a FPGA Xilinx Spartan 7 XC7S15-CPGA196 packaged in an area of 8x8mm 2. This architecture can run at 135.46MHz on a 1920x1080 pixels image.