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This paper presents a novel method for online product recommendation using facial image recognition and emotional feedback for online users. The system detects the faces of the users from the live camera stream along with gender identification and product recommendation algorithms for targeting products to the right user. It also uses an emotion detection technique for getting a feedback about the...
This paper presents a novel method for eye tracking and blink detection in the video frames obtained from low resolution consumer grade web cameras. It uses a method involving Haar based cascade classifier for eye tracking and a combination of HOG features with SVM classifier for eye blink detection. The presented method is non intrusive and hence provides a comfortable user interaction. The eye tracking...
This paper presents an accurate method of drowsiness detection for the images obtained using low resolution consumer grade web cameras under normal lighting conditions. The drowsiness detection method uses Haar based cascade classifier for eye tracking and combination of Histogram of oriented gradient (HOG) features combined with Support Vector Machine (SVM) classifier for blink detection. Once the...
In this paper a novel method for the visual inspection of frying food items using gray level method is presented. The gray levels of the images of the food items are used for recognition of different stages for frying. Mean gray level of 101.9 was obtained as the threshold of complete frying.
This paper presents a Customer Assistance Mobile Manipulator Robot (CAMbot) that can be used in super markets and shopping malls. It assists customers by helping them to find the required products with the help of a User Interface and identify commodities in the shelves using RFID tags. This robot helps the customers to find the way through the store using built in maps stored in the robotic memory...
In this paper a novel approach for recognition of handwritten digits for South Indian languages using artificial neural networks (ANN) and Histogram of Oriented Gradients (HOG) features is presented. The images of documents containing the hand written digits are optically scanned and are segmented into individual images of isolated digits. HOG features are then extracted from these images and applied...
In this paper a new automated method for sorting and grading of mangos based on computer vision algorithms is presented. The application of this system is to replace the existing manual technique of sorting and grading used in India. The system is developed for Alphonso mangos, the premium variety of mango exported from India. The developed system was able to sort the Alphonso mangos with an accuracy...
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