Cancer of the uterine cervix is the second most common cancer among Indian women, and accounts for 25% of global mortality due to cervical cancer. This is due to higher incidence, and late diagnosis of cervical cancer. Some of the commonly used screening tests for early detection of cervical cancer are Pap smear, HPV-DNA and visual inspection with acetic acid (VIA). Pap smear is the most commonly used method for cervical cancer screening. It depends on availability of laboratory facility and medical experts for smear preparation and analysis, which is lacking in developing countries. VIA evaluates the cervix for acetowhite (AW) regions which are formed when precancerous lesions combine with acetic acid. It does not depend on well-established laboratory facility and hence is a cost-effective test. It is a simple test as it is based on visual examination of the cervix after the application of acetic acid. Thus, it is well suited for screening in developing countries.VIA is a suitable test for low-resource settings as far as the simplicity of the test is considered, it requires skilled personnel for the evaluation of the acetowhite regions. Depending on the skills of the ones who perform the test, accuracy of VIA varies widely, with significantly higher sensitivity and specificity when observed by physicians than by nurses . An automated system for cervix image analysis might be able to overcome this problem, providing objective and repeatable evaluations. Advances in digital imaging and image processing have facilitated the acquisition of good-quality cervix images during the VIA procedure. At present, digital images of the cervix are acquired using a digital camera or a digital colposcope. Acquisition of cervix images using the digital camera and subsequent analysis of the images by skilled personnel is called cervicography. Since images acquired can be stored and sent over the Internet, it enables remote diagnosis. Digital colposcopy facilitates the acquisition of high-magnification cervix images. However, it is expensive and hence is not feasible for screening in resource-poor settings. An android device with an inbuilt app to acquire images and provide instant results would be an obvious choice in resource-poor settings. Our overall goal is to analyse sensitivity, specificity, positive predictive value, negative predictive value, accuracy and ROC  of Easy Cervical Optimiser(EC0) device which facilitates acquisition and processing of images with an inbuilt image processing algorithm. Such a system would be useful to augment the capability of a lay health worker performing the VIA examination to offer instant decision whether the individual requires further evaluation or not.