Implementation of the algorithm to detect Face and compare with the model using OpenCV(image processing),
sklearn, Numpy, Matplotlib.
Face key points extracted and store into the database.
Train database using TensorFlow, Machine Learning library.
For Classification use Multi-Layer Perceptron (MLP).
Attendance store in excel sheet with date and time.

Capture image from live video and process on image.
In image processing use different steps like image enhancement, restoration, morphological,
segmentation.
Finally, calculate the result from standard Brinell's standard equation.

Capture image from live video and processing on image. In image processing use different steps like image enhancement, restoration, morphological, segmentation. Finally calculate result from standard brinells standard equation.

Capture image from live video and processing on image. In image processing use different steps like image enhancement, restoration, morphological, segmentation. Finally calculate result from standard vickers standard equation.

Implementation of algorithm to detect Face and compare with model using OpenCV(image processing), sklearn, Numpy, Matplotlib. Face key points extracted and store into database. Train database using TensorFlow, Machine Learning library. For Classification use Multi-Layer Perceptron (MLP). Attendance store in excel sheet with date and time.

Implementation of algorithm to find a tumor in Brain using OpenCV(image processing) For feature extraction use Gray Level Co-occurrence Matrix (GLCM). Store all extracted data in database. Train database using TensorFlow Machine Learning library For Classification use Multi-Layer Perceptron(MLP)

Implementation of Wireless Sensor Network (WSN) with ATmega328. Implementation of wireless communication by nRF. Implementation of getting sensor data and ping individual nRF module. Manage and maintain firmware related tasks list, release deadline management and development. Firmware architecture of different modules is given below. Sensor Node: That collects and transmits the various sensor data to the central repository or the sink node Sink Node: The networking performing functions like data storage, data collaboration, computing and data integration by using Raspberry-pi. Web Interface: Development of a web application so as to provide access to the remote user to the sensor data and also for visualization of data.