The　Internet　of　Things　(IoT)　is　a　crucial　component　of　the　contemporary　information　industry　and　represents　a　significant　advancement　in　information　technology　aimed　at　enhancing　both　human　productivity　and　daily　existence.　Their　applications　are　extensive　and　far-reaching.　However,　the　present　state　of　research　on　the　design　of　low-cost　IoT　SoC　chips　leveraging　open-source　instruction　set　architectures　lacks　the　requisite　depth　and　breadth.　To　meet　the　requirements　of　low-cost　IoT　system-on-chip　(SoC)　development,　this　study　presents　a　commodity　code　recognition　SoC　chip　based　on　the　RISC-V　instruction　set　architecture,　which　is　capable　of　performing　image　acquisition　and　barcode　recognition.　The　proposed　system　comprises　two　main　components:　a　low-power　RISC-V　processor　and　an　image　recognition　module.　This　study　initially　enhanced　the　speed,　accuracy,　and　area　efficiency　of　the　hardware　design　of　a　commodity　barcode　image-recognition　module.　Subsequently,　the　image　recognition　control　module　was　developed　using　the　RISC-V　processor　and　CMOS　image　sensor　OV7670,　and　the　outcomes　of　image　recognition　were　accessed　through　interrupts.　The　processing　speed　for　collecting　and　identifying　$640\times　480$　images　on　the　FPGA　board　was　11.4FPS,　and　the　image　recognition　rate　was　99.5%.　The　chip　was　taped-out　using　the　UMC55n　process,　which　successfully　decoded　the　barcodes　and　output　the　results　at　a　working　frequency　of　40　MHz.