DeepVision ML Apps

MoleScreener - Neural Network-based Skin Moles Screening Tool inyour pocket*. MoleScreener by DeepVision ML is designed to bringyou peace of mind by helping you evaluate your moles and promptlycompare it with thousands of mole images with clinically confirmeddiagnoses. Features: ● Mole (Spot) Imaging ● Convolutional NeuralNetwork learned on 12 000 (twelve thousands) mole images withclinically confirmed diagnoses of Benign and Malignant Tumors ●Educational Neural Network-based Image Analysis with indication ofprobability of the Mole (Spot) to be either Benign or MalignantTumor ● Compatible with Macro lenses with 10x magnification Regularskin screening is essential in the early detection and preventionof skin cancer. MoleScreener is designed to make skin screeningsimple by helping you compare your moles images with confirmedcases of skin cancer. 70% of skin cancers are first spotted bypatients, not doctors. With MoleScreener you can spot suspiciousmoles sooner and ensure your moles are receiving the medicalattention they need. Common concerns include: - Moles, changingspots, melanomas, BCCs, SCCs, ... - Acne - Age spots - Vascularlesions - Eczema The MoleScreener app is designed for use with theMacro lenses with 10x magnification. You can buy such lenses fromvariety of specialized providers of smartphone optics. DownloadMoleScreener and start scanning your spots today. * MedicalDisclaimer: IF YOU THINK YOU MAY HAVE A MEDICAL EMERGENCY, PLEASECALL YOUR DOCTOR OR EMERGENCY SERVICES NUMBER IMMEDIATELY.MOLESCREENER DOES NOT RECOMMEND OR ENDORSE ANY TESTS, PRODUCTS,PROCEDURES, OPINIONS, OR OTHER INFORMATION THAT MAY BE MENTIONED ONTHE APPLICATION. RELIANCE ON ANY CONTENT ON THE APPLICATION ISSOLELY AT YOUR OWN RISK. MoleScreener (the “Application”) is not adiagnostic or a therapeutic application. The content of theApplication is intended to provide useful information to thegeneral public. All materials, including texts, graphics and imagesof the Application are for informational purposes only and are nota substitute for medical diagnosis, advice, or treatment forspecific medical conditions. All users of the Application shouldseek expert medical care and consult their own physicians for anyspecific health issues. DeepVision ML and its affiliatesspecifically disclaim all responsibility for any liability, loss,or risk, personal or otherwise, which is incurred as a consequence,directly or indirectly, of the use or application of any of thematerial of this Application.

Rapid response to consumer trends is critical for salesefficiency.Manual shelf inventory and assortment management causedelays insupply and respective losses: - up to 9% in sales duetounsatisfied demand, and - up to 7% in sales due towrongmerchandising. Shelf–driven demand notification drives theoptimalsupply chain. BrandVision IoT service is Android Thingspowered IoTnetwork of shelf scanners analyzes the items on shelves,compareswith shelf-specific planograms, recognizes the low, emptyor missedshelf items and signals for supply. BrandVision PoC isProof of theConcept application intended to conduct productexperiments anddemonstrate Convolutional Neural Network's power inimagerecognition. This application consists Convolutional NeuralNetworkbased model trained to recognize seven SKUs of populartoothpastebrand.