Aggression among pigs adversely affects economic returns and animal welfare in intensive pigsties. In this study, we developed a non-invasive, inexpensive, automatic monitoring prototype system that uses Kinect depth sensor to recognize aggressive behavior commercial pigpen. The method begins by extracting activity features from the information obtained pigsty. detection classification module, which employs two binary-classifier support vector machines hierarchical manner, detects activity,...

Railway point devices act as actuators that provide different routes to trains by driving switchblades from the current position opposite one. Point failure can significantly affect railway operations, with potentially disastrous consequences. Therefore, early detection of anomalies is critical for monitoring and managing condition rail infrastructure. We present a data mining solution utilizes audio efficiently detect diagnose faults in systems. The system enables extracting mel-frequency...

Automatic detection of pig wasting diseases is an important issue in the management group-housed pigs. Further, respiratory are one main causes mortality among pigs and loss productivity intensive farming. In this study, we propose efficient data mining solution for recognition using sound audio surveillance systems. method, extract Mel Frequency Cepstrum Coefficients (MFCC) from with automatic acquisition process, use a hierarchical two-level structure: Support Vector Data Description...

Stress adversely affects the wellbeing of commercial chickens, and comes with an economic cost to industry that cannot be ignored. In this paper, we first develop inexpensive non-invasive, automatic online-monitoring prototype uses sound data notify producers a stressful situation in poultry facility. The proposed system is structured hierarchically three binary-classifier support vector machines. First, it selects optimal acoustic feature subset from emitted by laying hens. detection...

In a surveillance camera environment, the detection of standing-pigs in real-time is an important issue towards final goal 24-h tracking individual pigs. this study, we focus on depth-based with "moving noises", which appear every night commercial pig farm, but have not been reported yet. We first apply spatiotemporal interpolation technique to remove moving noises occurring depth images. Then, detect by utilizing undefined values around them. Our experimental results show that method...

Knowing the number of pigs on a large-scale pig farm is an important issue for efficient management. However, counting accurately difficult humans because do not obediently stop or slow down counting. In this study, we propose camera-based automatic method to count passing through zone. That is, using camera in hallway, our deep-learning-based video object detection and tracking analyzes streams counts Furthermore, execute real time low-cost embedded board, consider tradeoff between accuracy...

Automated pig monitoring is an important issue in the surveillance environment of a farm. For large-scale farm particular, practical issues such as cost should be considered but consideration based on low-cost embedded boards has not yet been reported. Since have more limited computing power than typical PCs and tradeoffs between execution speed accuracy, achieving fast accurate detection individual pigs for “on-device” applications very challenging. Therefore, this paper, we propose method...

The increasing popularity of pigs has prompted farmers to increase pig production meet the growing demand. However, while number is increasing, that farm workers been declining, making it challenging perform various tasks, most important among them being managing pigs’ health and welfare. This study proposes a pattern mining-based behavior analysis system provide visualized information behavioral patterns, assisting in effectively monitoring assessing consists four modules: (1) data...

Automated activity monitoring has become important in many applications. In particular, automated is an issue large-scale management of group-housed livestock because it can save a significant part farm workers’ time or minimize the damage caused by problems. this paper, we propose solution for measuring daily-life activities pigs using video data order to manage pigs. Especially, focus on circadian rhythm under windowless and 24-hour light-on conditions. Also, derive cost-effective within...

Segmenting touching-pigs in real-time is an important issue for surveillance cameras intended the 24-h tracking of individual pigs. However, methods to do so have not yet been reported. We particularly focus on segmentation a crowded pig room with low-contrast images obtained using Kinect depth sensor. reduce execution time by combining object detection techniques based convolutional neural network (CNN) image processing instead applying time-consuming operations, such as optimization-based...

Taking care of individual pigs is important in the management a group-housed pig farm. However, this nearly impossible large-scale farm owing to shortage workers. Therefore, we propose an automatic monitoring method study solve problem Particularly, aim detect undergrown rooms by using deep-learning-based computer vision techniques. Because typical deep learning techniques require large computational overhead (i.e., Mask-R-CNN), fast and accurate detection on IoT-based embedded device very...

The fast detection of pigs is a crucial aspect for surveillance environment intended the ultimate purpose 24 h tracking individual pigs. Particularly, in realistic pig farm environment, one should consider various illumination conditions such as sunlight, but consideration has not been reported yet. We propose method to detect under by exploiting complementary information from depth and infrared images. By applying spatiotemporal interpolation, we first remove noises caused sunlight. Then,...

Automated pig monitoring is important for smart farms; thus, several deep-learning-based techniques have been proposed recently. In applying automated to real farms, however, practical issues such as detecting pigs from overexposed regions, caused by strong sunlight through a window, should be considered. Another issue in specific application the annotation cost data. this study, we propose method managing these two issues. Using annotated data obtained training images without first...

The use of IoT (Internet Things) technology for the management pet dogs left alone at home is increasing. This includes tasks such as automatic feeding, operation play equipment, and location detection. Classification vocalizations using information from a sound sensor an important method to analyze behavior or emotions that are alone. These sounds should be acquired by attaching dog, then classifying events (e.g., barking, growling, howling, whining). However, sensors tend transmit large...

Infrared cameras allow non-invasive and 24 h continuous monitoring. Thus, they are widely used in automatic pig monitoring, which is essential to maintain the profitability sustainability of intensive farms. However, practice, impurities such as insect secretions continuously pollute camera lenses. This causes problems with IR reflections, can seriously affect detection performance. In this study, we propose a noise-robust, real-time system that improve accuracy farms where infrared suffer...

Detecting replacement conditions of railway point machines is important to simultaneously satisfy the budget-limit and train-safety requirements. In this study, we consider classification subtle differences in aging effect-using electric current shape analysis-for purpose condition detection machines. After analyzing shapes after-replacement data then labeling each before-replacement data, can derive criteria that handle between "does-not-need-to-be-replaced" "needs-to-be-replaced" shapes....

In transmitting video data securely over Video Sensor Networks (VSNs), since mobile handheld devices have limited resources in terms of processor clock speed and battery size, it is necessary to develop an efficient method encrypt meet the increasing demand for secure connections. Selective encryption methods can reduce amount computation needed while satisfying high-level security requirements. This achieved by selecting important part encrypting it. this paper, ensure format compliance...

In this paper, we developed an optimal formant feature subset algorithm for the detection of cow's estrus vocalizations and introduced a prototype system to distinguish differences between normal sounds from pattern recognition perspectives. Primarily, found that there exist 19 formants in spectrogram Korean native cow vocalization, important finding initiated us introduce formant-based selection algorithm. We obtained {F1, F2, F4, F7, F14, F19} estrus. Finally, performance evaluation was...

Automatic detection of estrus in cows is important cattle management.This paper proposes a method by automatically checking mounting.We use side-view video camera and apply computer vision techniques to detect mounting behavior.In particular, we extract motion information select potential mount-up mount-down then verify the true behavior considering direction, magnitude, history mount motion.From experimental results using data obtained from Korean native farm, believe that proposed based on...

Failure to quickly and accurately detect abnormal situations, such as the occurrence of infectious diseases, in pig farms can cause significant damage farming industry country. In this study, we propose an economical lightweight sound-based anomaly detection system that be applicable even small-scale farms. The consists a pipeline structure, starting from sound acquisition situation detection, installed operated actual farm. It has following structure makes it executable on embedded board...