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      • Automated Attendance System using Facial Recognition

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      • A Conceptual Model for Automated Attendance Marking System Using Facial Recognition using OpenCV Platform : Python Delivery Duration : 3-4 working Days
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      • The project presents the MRI brain diagnosis support system for structure segmentation and its analysis using K-means clustering technique integrated with Fuzzy C-means algorithm. The method is proposed to segment normal tissues such as White Matter, Gray Matter, Cerebrospinal Fluid and abnormal tissue like tumour part from MR images automatically. Platform : Python Delivery Duration : 3-4 working Days
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      • Cam Find - A Search Method For Images using OpenCV Platform : Python Delivery Duration : 3-4 working Days
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      • Classification of Brain waves using EEG Signals with Deep learning

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      • Detection of Normality and Abnormality using Brainwaves with EG signals Platform : Python Delivery Duration : 3 - 5 hour Online Demo : 1 - 2 hour
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      • Classification of Brain waves using EEG Signals with Deep learning
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      • Classification of Skin Lesion using OpenCV

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      • Classification of malignant melanoma and Benign Skin Lesion by Using Back Propagation Neural Network and ABCD RulePlatform : Python Delivery Duration : 3-4 working Days
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      • Detecting machine-readable zones in passport images using Python and OpenCV

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      • Digital Art - Drawing In The Air Through Camera Platform : Python Delivery Duration : 3-4 working Days
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      • License Plate Recognition can be used to recognizing the vehicles in different places such as Toll Gates and Traffic signals This system uses Raspberry Pi Features: Vehicle Identification Shipping : 4 to 8 working days from the Date of purchase Package Includes: Complete Hardware Kit Demo Video-Embedded Below Abstract Reference Paper PPT (20 Slides) !!! Online Support !!!
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