System and method for feature sub-image detection and identification in a given image

A system (100) for detection and identification of feature sub-image in a given image, the system (100) comprising:

• a. a single Central Processing Unit (CPU) core with an Arithmetic Logic Unit (ALU) configuration and a non-transitory memory that stores software code, and Single Instruction Multiple Data (SIMD) instructions for executing software code for detection and identification of feature sub-image in a given image (101);
• b. Principal component analysis algorithm and inferencing technique stored on the non-transitory memory to detect and identify feature sub-image in the given image;
• c. saturation logic is turned off in the SIMD instructions of the software code;
• and
• d. the Arithmetic Logic Unit (ALU) of CPU is designed to have SIMD instructions without saturation logic in a critical instruction, wherein the critical instruction include Multiply and Accumulate (MAC) and shift instructions, wherein a Bill of Material (BoM) unit cost of a platform SoC consisting of CPU cores, DSP cores, and a GPU core is reduced compared to using a Digital Signal Processor (DSP) core to implement software modules by reducing a quantitative gate reduction by only including the CPU core and the GPU core for the platform SoC.