The significance of powerful surgical wound care can never be underestimated. Poorly managing surgical wounds may reason many critical complications. As a result, it increases. The necessity to broaden a patient-friendly self-care device which can assist both sufferers and clinical specialists to ensure the Nation of the surgical wounds without any unique medical equipment. On this paper, a surgical wound evaluation gadget for Self-care is proposed. The proposed machine is designed to allow patients seize surgical wound pictures of themselves with the aid of the usage of a cellular tool and add these pix for evaluation. Combining Image-processing and gadget-gaining knowledge of strategies, the proposed approach consists of four levels. First, photos are segmented into superpixels wherein each superpixel carries the pixels within the comparable shade distribution. 2nd, these superpixels corresponding to the pores and skin are recognized and the area of related skin Superpixels is derived. 1/3, surgical wounds can be extracted from this place primarily based on the statement of the texture distinction between skin and wounds. Ultimately, country and signs and symptoms of surgical Wound may be assessed. Full-size experimental effects are Conducted. With the proposed method, greater than 90% of country evaluation consequences are correct, and greater than ninety one% of symptom evaluation results consistent with the real analysis. Furthermore, case studies are furnished to show the benefit and trouble of this machine. Those results display that this device should perform