Natural rubber is widely used in daily human life because of its excellent properties. At present, manual tapping is the main method to obtain natural rubber. Since the growth of the industrial sector is in line with the national economy, the demand for rubber resources has also increased. However, natural rubber production countries are now lacking their workforce because tapping rubber trees can be considered a high skill-oriented task. The lack of trained tappers will affect rubber production. Hence, this paper proposes a new mechanism for an automated rubber tapping mechanism. The experimental results showed the effectiveness of the developed device, with accurate 30 degrees diagonal cuts.
The food intake counting method showed a good significance that can lead to a successful weight loss by simply monitoring the food intake taken during eating. The device used in this project was Kinect Xbox One which used a depth camera to detect the motion of a person’s gesture and posture during food intake. Previous studies have shown that most of the methods used to count food intake device is worn device type. The recent trend is now going towards non-wearable devices due to the difficulty when wearing devices and it has high false alarm ratio. The proposed system gets data from the Kinect camera and monitors the gesture of the user while eating. Then, the gesture data is collected to be recognized and it will start counting the food intake taken by the user. The system recognizes the patterns of the food intake from the user by following the algorithm to analyze the gesture of the basic eating type and the system get an average accuracy of 96.2%. This system can help people who are trying to follow a proper way to avoid being overweight or having eating disorders by monitoring their meal intake and controlling their eating rate.
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