Child Tracking

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Android Based Child Tracking System

Android Based Child Tracking System

ABSTRACT: Day today crime against children is increasing at very high rate. So it is high time to offer security to children. This paper proposes a mobile based child tracking system that will help parent to keep observation on their child while seating in the office. The system consists of two module, child module and parent module.Child module which have GPS, GSM, and ARM7 and voice playback circuit and parent module which includes mobile phone (which supports internet connectivity) for getting the information about the missed child on periodical basis. Addition to the proposed system is that parents don‟t have to continuously monitor the location of child, if child is going outside of define area then alert message will be given to parents. Also if child is crying then also alert message will be send to parents. Child module have one panic switch, with the help of which child can alert parents if he is feeling insecure.

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Adaptive distance alert safety system (ADASS) 
		on child tracking using Arduino

Adaptive distance alert safety system (ADASS) on child tracking using Arduino

This paper presents a development of an Adaptive Distance Alert Safety System (ADASS) on child tracking using Arduino microcontroller. A developed prototype of ADASS is designed to alert guardians in detecting human or children presence in a selected covered area. It comprised with a portable module called transmitter which hold by a child and a receiver hold by a guardian. The module works as guards to keep alert on the child existence if the child goes beyond the selected safety area. The system designed which provides three adaptive different signals coverage with Arduino microcontroller. Adaptive signals and different sound volumes are alert in the distance alert area are set as 50m, 70m and 100m as the adaptive signals. Buzzer sounds is created to react with frequency signal and produces different levels sound strength which are low, medium and high volume followed the set of distance of the alert area. Short Message Service (SMS) is sent to guardian if the child is outside the signal range. The Communications signal for the alert system from transmitter to receiver uses Radio Frequency (RF) signal. The RF signal is analyzed based on the adaptive distance alert. Result presents a prototype of ADASS that designed with three new parameters and alerts evaluation is succesfully identified in cases of child appearance.

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WIRELESS SMART CHILD TRACKING SYSTEM FOR INDIAN PARENTS

WIRELESS SMART CHILD TRACKING SYSTEM FOR INDIAN PARENTS

Abstract--- Mobile devices are increasingly relied on but are used in context that put them at a misuse place. Thus considered an approach that exploits spontaneous track of the mobile usages of the children. This is especially for parents who want to track their child activity. For such parents they are keep track their children in the way how they are misusing the mobile. Smart Child Tracking System (WSCTS) is a monitoring tool intended for the care-taking children usage. It is composed of two units; one that is carried by the child and a second one functioning as a supervision unit (similar to client / server relationship). The “unit” can be a variety of devices including, but not limited to, cell phones, PDAs etc. Each unit will communicate with supervisor directly or by-directly. Supervisor will keep a record of children about their online / offline status. Hence, supervisor can understand is somebody left the group or not. WSCTS will understand approximately a child is far away from his supervisor. Hence, head of the group can keep track children remotely. The objective of this WSCTS was to track each and every child in 10-25 age groups throughout the country, prepare the data base, use the parent’s findings through on-line “WIRELESS SMART CHILD TRCKING SYSTEM” software and update it annually with a little effort. The key objective of this WSCTS Project is to monitor of the children activity. Frequent monitoring of children dashboards helps the parents and monitoring in focusing on the children where they are and what they are doing.

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A Smart City Approach for Child Tracking With Video Streaming

A Smart City Approach for Child Tracking With Video Streaming

ABSTRACT: In everyday’s morning newspaper the child kidnapped, the child was locked in school bus, the child was dropped at the wrong bus stop or due to school bus drivers mistake many students lost their lives, every parents read this news and worry about their child safety while going to school and coming from school in school bus. This paper focuses on strong child tracking system to avoid the above incidents with affordable cost. Though the existing system are not robust enough to prevent crime against children as they give information about the child location, the child crying sound or the SMS when child is picked or dropped from school bus. But any parent is not satisfied that his child is safe, till they doesn’t see their child with their own eyes. The proposed system includes the transmitter module and the receiver module. The transmitter module includes the Beagle Bone Black development board, USB Camera, Global positioning System (GPS), Power hub and Router with modem. The Receiver module is the Android mobile in parent’s hand. The implementation results for proposed system are provided in this paper.

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Bluetooth GPS application based on 
		latitude and longitude for child tracking model

Bluetooth GPS application based on latitude and longitude for child tracking model

GPS is a device that is capable of receiving information from GPS satellites and then to accurately calculate its geographical location. This paper presents child tracking system based on modelling of latitude and longitude coordinate and speed changing tracker. The system consists of a Bluetooth GPS receiver and an android smartphone. Communication between GPS and a smartphone is via Bluetooth protocol which requires the Bluetooth GPS to be paired with a smartphone. The smartphone will extract the coordinate and speed from GPS signal which send using National Marine Electronic Association (NMEA) format. This information is analysed to measure the distance and speed. The smartphone and the speed is more than 2.8km/h after receive an alarm the location of the child can be track using Google map or parent can be share the information via media social such Facebook or Whatsapp. The child tracking model based on latitude and longitude coordinate and speed parameter system has been successfully designed and implemented. It is able to protect the child safety by monitoring the location of the child.

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An in depth assessment of India’s Mother and Child Tracking System (MCTS) in Rajasthan and Uttar Pradesh

An in depth assessment of India’s Mother and Child Tracking System (MCTS) in Rajasthan and Uttar Pradesh

Background: India ’ s Mother and Child Tracking System (MCTS) 1 is an information system for tracking maternal and child health beneficiaries in India ’ s public health system, and improving service delivery planning and outcomes. This ambitious project was launched in 2009 and currently covers all states in India, but no in-depth assessment of the system has been conducted. This study by the Public Health Foundation of India (PHFI) evaluated the performance of MCTS and identified implementation challenges in areas in Rajasthan and Uttar Pradesh (UP) in December 2012. Methods: Two assessment methods were employed: a Data Quality Assessment (DQA) to evaluate data quality and an assessment survey to identify implementation challenges. The survey comprised semi-structured questionnaires for health staff in the sampled districts, observation checklists and survey investigator notes. Purposive sampling was used for selecting two districts in each state and two blocks in each district. For the DQA, 45 mothers who became pregnant and 84 children born within the stipulated timeframes were randomly sampled.

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Child Tracking System Based on GSM

Child Tracking System Based on GSM

This section describes the conceptual design of a Children Tracking System (fig.1). The children information is transmitted and received using GSM technology. The child module acts as a transmitter which includes ATmega 162v microcontroller, GSM module, GPS module and voice playback circuit. The receiver module includes Android phones. Child module is fixed to each and every child. The position of the moving child is tracked by GPS and is sent to ATmega 162v microcontroller. This controller forwards the GPS data (latitude and longitude) to GSM board. When the child cries, voice playback circuit is triggered by ATmega 162v microcontroller and intimation about corresponding child is given through text message to their parents.

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The Effects Of Using Interactive Teaching Programs On Preschool Children's Literacy Development: Case Study

The Effects Of Using Interactive Teaching Programs On Preschool Children's Literacy Development: Case Study

The study integrated different methods which are observations, questionnaires, and children‟s tests. Two observation schedules were developed for this study that were adapted from the Effective Early Learning (EEL) Project (Pascal et al., 1997). The Child Tracking Schedule is used to gain a snapshot of the child‟s day and provide information on literacy learning experiences, the amount of interactive teaching programs offered to the child (known as the zone of initiative), how children are organized in terms of grouping, interactions between children and teachers in the computer‟s corner, and the involvement of the children in additional literacy activities. The Involvement Schedule is used to gauge the quality of the educational experience in which the child is engaged, and the level of learning experienced by the child, in which a high score for the level of involvement indicates deep level learning (Mcinnes, 2002). There were three sets of children literacy skills. The teachers administered the tasks individually and during observations the amount of support each child needed to perform the test successfully was recorded:

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A Comparison of Elevated Blood Lead Levels Among Children Living in Foster Care, Their Siblings, and the General Population

A Comparison of Elevated Blood Lead Levels Among Children Living in Foster Care, Their Siblings, and the General Population

We used 3 databases in our study: the Families and Child Tracking System (FACTS) database, the Childhood Lead Poison- ing Prevention Program (CLPPP) database, and the Birth Certifi- cate Registry. The FACTS database at the Philadelphia Depart- ment of Human Services contains demographic and social information on all children in out-of-home care (which includes foster families, group homes, and institutional settings) in Phila- delphia County. The CLPPP database at the Philadelphia Depart- ment of Public Health contains demographic information and blood lead levels on all children with lead testing reported to the CLPPP or performed by the Philadelphia Public Health Lead Laboratory after 1990. Most clinical facilities in Philadelphia use this laboratory to process lead-screening tests. For those sites that do not use this laboratory, the majority of specimens are sent to a single, private laboratory that generally reports lead levels ⱖ 15 ␮g/dL to CLPPP. It is required that all levels ⱖ25 ␮g/dL and requested that all levels ⱖ 15 ␮g/dL be reported to the CLPPP. For this study, we used lead result data from January 1992 to February 1998. The Birth Certificate Registry of the Pennsylvania Depart- ment of Vital Statistics for Philadelphia contains demographic and perinatal information on all children born in Philadelphia County. The 3 databases mentioned above are independently used for administrative purposes and surveillance.

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Not surprisingly this universal anxiety or ‘paranoid parenting’ as sociologist Furedi (2001) calls it, creates an opportunity for businesses to sell products that assist parents in their efforts to monitor their children as closely as possible. Since 2001, real-time location surveillance has become relatively easy and affordable with the introduction of commercial wearable applications that use geographical positioning information to provide location-based services (Rooney 2010). Despite their commercial presence, however, our recent study shows that uptake has been stagnant (Vasalou, Oostveen and Joinson 2012). Among a representative sample of 920 parents this study investigated the actual use of tracking devices within the family and found that in fact only 1.7 per cent of parents use such technologies. Similarly, Thumala et al. (2013) observe that GPS trackers for children have not taken off as a mass consumer product. Despite this, as location tracking software is being increasingly developed to operate on mobile phones, in the future, technology push might tempt undecided parents, or those currently inhibited by current high costs or perceived complexity, to re-evaluate their decisions. Taking a reflexive approach to understand how the design of child tracking technologies can lead to harmful social outcomes is therefore timely.

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Resilient Back Propagation Algorithm in the Prediction of Mother to Child Transmission of HIV

Resilient Back Propagation Algorithm in the Prediction of Mother to Child Transmission of HIV

The transmission of HIV from mother to child is responsible for over 90% of in- fections among children under the age of 15 [1]. AIDS is beginning to converse years of steady growth in child survival. Most children living with HIV become infected through mother-to-child transmission. Since the first reported case of HIV-1 transmission in children in 1983, the global pandemic has had a serious impact on the health and survival of children. Maternal mortality was still very How to cite this paper: James, T.O.,

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There have recently been increasing numbers of studies on ubiquitous computing to build pervasive communication infrastructures. In Japan, a national strategy to become a ubiquitous network society in which anyone can easily access and use a network any time, anywhere and from any appliance, has been promoted for the sake of social security. A child monitoring system using radio frequency identification (RFID) is one example of a security system accepted by Japanese parents since 2004; the system informs parents of the exact time their child enters and leaves the school gate. Along with the technical development of RFID, the government and ubiquitous computing industries are suggesting various advanced monitoring systems to promote a ubiquitous network society. However, tagging people with an RFID always raises the controversy about the trade-off between security and privacy. In this article, by investigating parental perceptions of advanced child monitoring systems as an example, we aim to suggest an appropriate way to introduce ubiquitous security systems to the public. The findings indicate not only the need to consider the technical and regulatory frameworks, but also that relationships with actual users are essential for building ubiquitous security systems.

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A concept for wildlife tracking using ultra high frequency (UHF) radio

A concept for wildlife tracking using ultra high frequency (UHF) radio

less when traveling through dense vegetation or varying terrain. The commonest frequency ranges used for VHF tracking are 148-152 MHz, 163-165 MHz, and 216- 220 MHz [14]. The higher frequencies bounce more (e.g. off mountains) but have the advantage of requiring smaller antennas. Lower frequencies require long antennas (for example, a quarter wave whip at 148 MHz needs to be 50 cm long) which are often impossible to place on smaller animals. Higher frequencies, although requiring a shorter antenna, suffer more from ‘signal bounce’ due to more pronounced multipath effects from the environment, affecting their useful detection distance. An additional frequency-choice consideration involves proximity of other research projects using similar frequencies. Coordination among projects is necessary in order to avoid duplicating frequencies for individual study animals that may use the same areas [14].

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FaceOffZombie

FaceOffZombie

1. Surface Tracking: The main difficulties with surface tracking in augmented reality is that with the current technology there are not many tracking techniques that provide accurate orientation and surface detection in an unprepared heterogenous environment.The challenges with surface tracking include the identification of real-world objects and the ability to hide the virtual objects behind the real world objects, this phenomenon is also called occlusion.


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Real Time School Bus Tracking System with Biometrics, GPS and GPRS using ARM Controller

Real Time School Bus Tracking System with Biometrics, GPS and GPRS using ARM Controller

The modem needed only 3 wires (Tx, Rx, GND) except Power supply to interface with microcontroller/Host PC. The built in Low Dropout Linear voltage regulator allows you to connect wide range of unregulated power supply (4.2V - 13V) to send & Read http data [7].Each url takes time to fire server. Type4 url fires the driver or child or school id to the server accordingly sever fires the name. This process takes around 8 to 10 sec. Remaining three url takes 5 to 7 second to send data to server. This time depends on range server availabilitty,network and envioremental conditions.

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Refining the continuous tracking paradigm to investigate implicit motor learning

Refining the continuous tracking paradigm to investigate implicit motor learning

assumes that this degradation is linearly related to time on task. The findings of Experiment 1 add a degree of support to this assertion, and the use of this approach. To be certain that the time-on-task effect is negated, however, one solution is to construct a waveform pattern with just two segments, one repeated and one random, and counterbalance the order of presentation of the segments across practice trials (e.g., Vidoni & Boyd, 2008 & 2009; Vidoni, McCarley, Edwards, & Boyd, 2009). Another solution is to verify learning not by conducting within-trial performance comparisons, but by introducing a transfer test in which the repeated pattern embedded in the middle segment of the waveform throughout practice is replaced by a random pattern (such that the trial comprises three random segments) and conducting between-trial performance comparisons. Poorer tracking performance on the middle segment in the transfer test would provide evidence that characteristics of the repeated waveform pattern have been learned. Since the repeated pattern tracked throughout practice and the random pattern tracked only in the transfer test are presented in the same time window of the trial (i.e., middle segment), this approach overcomes the possible confound of a time-on-task effect. Such an approach is analogous to that used in the serial reaction time task paradigm to assess (implicit) learning of finger tapping sequences (e.g., Destrebecqz & Cleeremans, 2001; Reed & Johnson, 1994; Shanks & Johnstone, 1999).

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UMATracker: an intuitive image based tracking platform

UMATracker: an intuitive image based tracking platform

At the preprocessing step, using image preprocessing (IP) techniques, animal shapes – termed blobs – are extracted from each frame in the video. Thus, the preprocessed video contains the animal shapes for each frame. This step comprises two sub-steps: first, each video frame is split into a foreground image (e.g. individual animals) and a background image (e.g. an experimental arena and inanimate objects); then, the noise due to unexpected incidents, such as floating faeces in a fish tank, dusty experimental conditions, etc., is removed from foreground images. These are accomplished by applying multiple IP algorithms, termed the image processing pipeline (IPP). In the tracking step, the tracking algorithm identifies animals in each video frame for a sequence of video frames using blobs. Then, a trajectory is constructed for each individual animal.

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Satellite Tracking Control System Using Fuzzy PID Controller

Satellite Tracking Control System Using Fuzzy PID Controller

Firstly, the control system operates in the manually or automatically search mode via parameters of ground stations and satellites. Then the system switches to step-tracking mode. In this mode, the control system will perform tracking process until AGC signal level is over the threshold level and tracking state keeps the idle stage. When the receiver system moves, if the AGC signal level drops between the threshold level, tracking system will move to searching mode.

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Robust Object Tracking under Cluttered Environment

Robust Object Tracking under Cluttered Environment

Object detection and tracking in a cluttered environment is the field of computer vision and also it is one of the most promising applications of computer vision and has a very wide range of applications. In the last 10 years, the higher growth has been attained by it in the field of Human Computer Interaction (HCI) and Human Machine Interaction (HMI). Over recent years, much research has been devoted to object tracking under cluttered environment, because in real world tracking, a target being partly or entirely covered by outliers for an uncertain period of time is normal. Now it is most interesting and active area of research.

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Text Detection And Recognition From The Captions Of Streaming Videos Using Tracking

Text Detection And Recognition From The Captions Of Streaming Videos Using Tracking

a similar one. Thus, the division of one trajectory is probably going to be over-divided, which isn't immaculate however superior to under-division where the ID switch consistently happens. To additionally improve the exhibition of image segmentation, a cluster algorithm is then used to combine the sub-trajectories with a short length. This merging procedure is performed by an agglomerative hierarchical clustering algorithm. The trajectory's highlights are gotten from the reference text. The dissimilarity between two highlights is estimated with the edit distance. During the time spent clustering, the separation between two (break) clusters is determined on two agent focuses (one in each cluster) which are the nearest pair focuses in the two (interval) clusters. The temporal information isn't utilized in the consolidating step in light of the fact that a similar content may not happen constantly since the mistake of the ID switch is probably going to show up in text tracking. In the wake of combining, the trajectories of an unassuming length with high certainty are created and refreshed.

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