Medical imaging is essential for disease diagnosis, providing insights into a patient’s internal conditions. Radiologists perform scans and generate reports based on physician requisitions, using technologies such as X-ray, computed tomography (CT), positron emission tomography (PET), Single-photon emission computed tomography (SPECT), Magnetic resonance imaging (MRI), Functional magnetic resonance imaging (fMRI). For re-evaluation, ordering a new scan can be costly and time consuming; thus, reusing original film plates can be a practical alternative. An embedded system employing the ESP32 CAM WiFi module, a microcontroller, and SD memory cards captures and processes these images. Here an image of the black plates (image films) has been captured and used for further processing. This system identifies tumor and stroke regions in the brain, offering a portable, real-time, and cost-effective solution. Here wavelet transform-based denoising enhances image quality, making it easier to visually locate the abnormal region, while resource optimization techniques improve time and space efficiency.