If you thought that faxing was a thing of the past, then you were wrong; online faxing has made sure that you will be faxing documents for many years to come, and it is such a popular method that it is more popular than emailing in many circumstances. When you have large documents with detailed pictures to send to clients, email simply won’t work.

Emailing is great for sending small text documents, but still there is the possibility that the recipient will not read the mail as it will get mixed up with junk mails and spam. But if you fax documents, the recipient will receive a notification of the incoming fax and will go straight to open it. This is just one advantage of the online fax, there are many more.

When we compare online fax with the old and antiquated machines that used to sit in the corner of the office, we can see just how many more advantages there are. There is a certain lack of paper necessary, no staples to get caught up in the machine, no ink that runs out, and no queue for the machine on the corner of the office.

Using an email fax is overall a much more secure way of sending your documentation. And if you wish to send hand written copies, simply scan them in to your PC first and save them in the files with all your outgoing faxes. Online faxing is not just so much more easy, less messy, and reliable; it is also more private. When you send and receive online faxes you no longer have to worry about other office members reading your private documents before you even see them.

These are just some of the advantages of using online faxing as a method of communication when compared to both traditional faxing an email attachments. The price of sending a fax should also be noted, as with new VoIP providers who provide this service you will find the price of sending a fax a lot less than by a traditional fax and phone line method. All round, online faxing is cheaper, more efficient, easier, and simply a great new invention.

Computer Vision in the Retail Environment

In one research initiative underway, the Latin American and Caribbean Collaborative ICT Research Federation is looking into the use of computer vision for a real-time system that would allocate and supervise cash registers at grocery stores. Researchers believe that the service industry is one sector that could benefit immensely from new applications of computer vision. Their research project is aimed at improving service at grocery checkout lines by creating an automatic system that would monitor waiting times in lines, situations that create delays and required time necessary to serve the customer. This information and other measurements would be factored into the system so it can recommend the ideal number of check-out points. Continuous real-time measurements and the decision-making aspects of the system make it unique from the traditional passive measurements of existing computer vision applications.

Computer Vision in Farming and Agriculture

Another research project in progress is applying computer vision to automate agricultural machinery. Researchers at CLAAS Agrosystems in Germany are combining 2D and 3D computer vision techniques to capture a detailed scene of the farmland. This information would enable automated farm equipment guided by a 3D vision navigation system to perform automated weed control, spot spraying, and inter-row and inter-plant cultivation at a higher efficiency.

Computer Vision on the Road

Researchers at the Bundewehr University in Munich, Germany, are advancing their research on computer vision in road vehicles by equipping a Mercedes 500 SEL passenger car with a sense of vision. The autonomous road vehicle guidance system for normal traffic conditions detects road conditions, objects and obstacles from both the front and rear of the automobile using 4D machine vision. Computer vision in cars would reduce accidents and improve gas efficiency.

Computer vision conferences held annually by major organizations and associations focusing on the technology introduce numerous research papers on other uses of computer vision and its related fields. They range from simplifying everyday tasks to improving existing technology to creating a while new computer vision system for an application. Ongoing research is conducted at universities around the globe and by private computer vision research labs and companies. The extensiveness of the research being conducted in computer vision is indicative of the great potential it holds in many diverse fields and applications.

Machine Vision

Machine vision is perhaps the most successful offshoot of computer vision. Used in industrial settings since the late 1970s, machine vision is typically employed in manufacturing to conduct automatic inspections and for sorting and material handling. In addition, machine vision is being used for robot guidance in industrial and manufacturing settings. The success of machine vision has led to its own offshoots, among them video analytics. Traditionally used in automotive manufacturing to inspect parts, and later in license plate recognition, video analytics is now being considered for security technology, particularly wireless applications in retail settings and outdoor environments.

Biological Vision

Biological vision takes the principles of computer vision and applies them to humans and other animals. While computer vision interprets the processes of hardware and software in artificial vision systems, biological vision uses similar practices to study the physiological processes of visual perception and the human consciousness.

Robotic Vision

Robotic vision applies computer vision to the field of service robotics. Built-in cameras and sensors allow robots to move about unmanned, able to detect obstacles they encounter and translate back data of what they are seeing. Computer vision has enabled robotic vision to advance its applications into a wide range of fields, including the military, aerospace and space exploration, law enforcement, nuclear and industrial. In addition, research is focusing on areas that include human-robot interfaces, tele-assistance services and multi-sensorial perception.

Augmented Reality Applications

An offshoot of computer vision and computer graphics, augmented reality provides a live view of a real-world situation and enhances some of its elements by computer-generated applications, such as graphics, sounds, or GPS. An example of augmented reality is when television networks broadcasting a live pro football game display a yellow line over the field to indicate the distance from a first down or goal.

In this decade, we will continue to see offshoots of computer vision as the potential of the science continues to be discovered. And the future holds many possibilities for other branches of computer vision as well.

The Ancestry of Computer Vision

Since computer vision encompasses the science and technology of artificial intelligence and machines that see, computer science is the starting point when tracing the relationship of computer vision to other sciences. Computer science itself is a broad discipline, focusing on the science and technology of processing information. It encompasses computation theory, architecture of computer systems, theories of language programming and computer applications, all of which are utilized in computer vision. But artificial intelligence, a branch of computer science, is the science in which computer vision relies heavily upon. It focuses on enabling computers to do things that generally require human intelligence. In order to accomplish this mission, the science of artificial intelligence, along with computer vision, studies such aspects as learning, language interpretation, perception, reasoning and problem-solving.

A close relative to computer vision would be physics, in particular the optics, image sensors and measures involved in computer vision. Computer vision relies on physics when applying theories to the behavior of energy, motion and force. Another close relative is neurobiology, which studies the brain and nervous systems of living beings. This science allows computer vision to mimic the natural vision system and other human and animal behaviors. Also closely related to computer vision is mathematics, specifically signal processing. This field gives computer vision the methods for non-linear and multi-variable signals.

When it comes to application, computer vision turns to the other side of its family and the areas related to integrating the methods of theory. These relatives include image processing and analysis, automation and machine vision. Other methods used in computer vision are related to the fields of geometry, statistics, pattern recognition and optimization. With its reliance on numerous fields of math and science, computer vision has proved invaluable in the medical, military, aeronautics, construction, manufacturing, food processing and industrial areas.

The related sciences and fields of computer vision enable it to handle numerous tasks encompassing recognition, motion, image restoration and scene reconstruction. Among the key applications using computer vision are industrial image processing to handle processes and quality controls; monitoring involving data collection and safety systems, as well as event recognition; robotics encompassing assembly and the use of autonomous systems; and document analysis covering handwritten and graphics recognition. These tasks are wide-ranging and are used by numerous industries in countless applications throughout the world.

At its most basic, the tasks of computer vision can be categorized into five types:

1. Constructing a 3D View – Perhaps the most common task of computer vision is producing a 3D image from a flat or 2D image. This depth capability has proven beneficial in the medical field, as well as the military. For example, computer vision enables radar to generate a map of the surrounding ocean and identify the location of enemy ships by distinguishing them in 3D view. Besides actual applications, computer vision’s 3D view construction is also enhancing research in many areas.

2. Surface and Object Recognition – Recognizing objects and registering surface types are two common tasks performed by computer vision. It does this by capturing information, such as dimensions, composition and unique features, and producing accurate images so the object or surface can be identified. Computer vision’s surface and object recognition capabilities also are used for detection and identification purposes, such as detecting abnormal cells in medical imaging or identifying a specific person through fingerprints.

3. Scene or Event Reconstruction – Reconstructing a scene, whether from live data or a video, is another key task performed by computer vision. By inputting data of one or more scene images, computer vision can reconstruct the scene in a 3D model. As part of the reconstruction, computer vision takes into consideration essential factors, such as texture, lighting, spatial relations, gradients, and other influences. This computer vision task is often relied upon by the motion picture and film industry.

4. Motion Analysis – Tasks that require estimation of motion are often performed by computer vision. It can be used to determine velocity between two distinct points or within a scene that involves multiple objects, such as vehicles and humans. Accident reconstruction scene specialists often use motion analysis to determine the speed of a vehicle.

5. Image Restoration – Computer vision is used to recreate an image of an object or a structure that has been altered due to “noise,” such as a motion blur, sensor interference, or improper storage. It can also be used to enhance details in an image. Likewise, computer vision uses algorithms to restore image data that may have been corrupted. Applications that use computer vision’s image restoration capabilities range from art and film restoration to photography and live video streaming.

- Electronics that are more intelligent and aware of their environments;
- Game consoles that can detect body movements and facial expressions and use them as an interface between the game and player;
- Automotive electrical components that prevent accidents;
- Remote control applications that make the need for physical remote controls for televisions, lighting, heating and air conditioning, and the like obsolete;
- Swimming pool safety systems that monitor anyone in the water;
- The ability to analyze immense libraries of video content from a home television to quickly find content of interest to the viewer.

Embedded Vision Technology Holds The Key

The advancement of practical embedded vision technology is the link to enhancing computer vision in electronics. Embedded vision technology combines computer vision and embedded systems technologies to enable machines to interpret their environment through visual means. Embedded systems are already in use in kitchen appliances, electronic devices and consumer electronics. Because of the adaptability of embedded systems technology and low-cost depth sensors, it now can be integrated easily into existing electronic products, rather than require new designs.

Computer Vision To Be The Next Wireless

Marketing and industry experts are expecting big things from computer vision electronic products. They are basing their expectations on the public’s positive response to products already on the market that utilize computer vision. Among them are Microsoft Kinect, which enables the Xbox 360 to “see” and for players to use the gaming system without hand-held controllers. According to Microsoft, eight million Kinect units were sold in the first two months the product hit the market, making it the fastest selling consumer electronic device in history.

Brier, who in addition to his role as president of Berkeley Design Technology helped organize the Embedded Vision Alliance, predicts the pairing of computer vision and embedded vision technologies will be to the electronics industry what wireless was to the computer and mobile industries. He pointed out that consumers will soon come to expect it in their electronics.

Various Functions of Computer Vision Systems

Many computer vision systems, while diverse for their working environment, have many functions in common. Typical features include pre-processing, image acquisition and extracting of image features. For example, all computer vision systems require some form of image sensor to produce a digital image. While this function is typical in computer vision systems, the methods may vary, ranging from light-sensitive cameras and ultra-sonic cameras to radar and tomography devices. Some computer vision systems also have more advanced functions like segmentation, detection and high-level processing to process shape, texture, or motion.

More Robust Computer Vision Systems On The Horizon

As advances are made in technology, scientists are applying them to functions and applications in computer vision. For example, new developments in imaging and embedded computing technology has led scientists to incorporate portable imagers into computer vision systems that can be connected via wireless networks. The result is a computer vision system for video surveillance or any other function that calls for activity to be noticed, processed and interpreted.

Technological advances also led a group of European researchers to develop HERMES, a cognitive computer vision system that consists of video cameras and software designed to recognize and predict human behavior, and translate it into ordinary human language. This type of application can be used for accident prevention, intelligent surveillance and psychology efforts. Artificial intelligence researchers are also investigating the use of computer vision systems to better interpret the natural movements of people. Scientists at Purdue University are focusing on heat diffusion within a computer vision system to better achieve 3D object recognition for complex shapes or when the shape of an object takes on another form. The system would scan an object’s surface and use algorithms to forecast how heat would be diffused throughout it. Since heat diffusion patters are predictable, the shape of the object can be determined regardless of its orientation. For example, a computer vision system of this type would be able to recognize the shape of a closed fist as a human hand.

More robust computer vision systems are on the horizon as French researchers make headway with their study on autonomic computing. This would allow for a computer vision system designed for one application to be easily applied to new applications in a totally different genre. Autonomic computing is being looked at in building computer vision systems that are less costly to install, perform self-monitoring functions and provide enhanced reliability.

The Effects of Missed Meetings

While the average consumer may see a missed meeting as something of a minor convenience, a company may actually experience a serious setback. When setting up a meeting with a specified client, there is a significant amount of preparation involved. Accommodations are made for the individuals involved. Changes in business staffing can occur which are designed to cover for those who are involved in the scheduled meeting. Complex presentations may be designed and created in order to drive home a desired point. All of this is done with the focus of increasing company revenue.

When the meeting is missed, the company is left with no benefit for all of its efforts and resources that were expended on the meeting. All too often, this happens merely through common client errors. The simple utilization of an automated appointment reminder can break the cycle of continually missed meetings and save wasted time and resources that are an on-going problem with most companies, today.

The Benefits of Scheduled Phone Reminders

As we have previously pointed out, a missed meeting can be looked at in terms of wasted time and resources. But let’s take another look at the benefits of automated reminders. In today’s marketplace, the competition is fierce when it comes to obtaining and keeping potential clients who can provide a company’s revenue. A missed meeting, that would provide a business proposition through a presentation, can mean more than just a delay of that presentation.

It can provide an opportunity for the competition to present their own products or services and possible secure that business for themselves. In addition, attempting to follow through on appointments for multiple clients can become a confusing affair where meetings can easily “slip through the cracks” amidst the daily turmoil of any business day. Automated reminders can be uniquely configured to meet the demands of reminding multiple individuals of their appointments without having to rely on a complex schedule of phone calls made by a member of your organization.

Automated Reminders Can Come in Different Forms

Automated reminders can easily be configured in a flexible manner in order to alert clients in a number of different ways. The reminders may be sent out in the form of recorded phone messages or through text messaging. These reminders can be synchronized with a client contact list containing telephone numbers which will deliver the messages instantaneously according to a prearranged schedule. For text messaging, the reminder can be sent to a client’s cell phone, which can ensure contact even when the client is out of their office or away from their home phone and computer. This will also ensure that the message is not buried under a mountain of emails.

The number of individuals that can receive a voice or a text message is not limited, either. Automated reminders can be scheduled at any time to send messaged to one person or to an entire group. This means that everyone who is involved in the scheduled meeting can be effectively reminded.

As you can see, the use of a simple appointment reminder facilitated by an automated appointment reminder service is not only versatile, but an effective means of eliminating the waste caused by missed appointments.

Another alternative is to use an SMS marketing tool, which can send out text reminders.

The ID: A Labs study identified the most common forms of identity theft on minors. Topping the list are credit card identity fraud and wireless activity fraud. According to the study, 60 percent of child identity theft incidents involved identity thieves opening up a credit card account using the child’s personal information. Also in the majority of fraud occurrences are cell phone and other wireless provider accounts opened under a child’s name. As Tom Oscherwitz, chief privacy officer at ID Analytics points out, identity thieves are on the lookout for children’s personal information that is left unprotected because their personal data is less likely to be monitored for misuse and opportunities to obtain credit under a child’s name are wide open.

The study was based on activity over a 12-month period from April 2010 to March 2011 of the more than 172,523 children enrolled in the Consumer Notification Service provided by ID Analytics. Of the 600 possible cases of child identity theft, 55 percent were confirmed as actual identity fraud by credit card issuers and other service providers. Oscherwitz said the solution to child identity theft needs to be a comprehensive one. In order to fully protect a child’s name, date of birth, social security number and other personal identifying information, he recommends a layered approach to identity theft protection that encompasses consumer education, technological advances, enhanced business processes and legislative guidance.

The growing incidences of child identity theft has prompted the Federal Trade Commission (FTC) and the U.S. Department of Justice’s Office for Victims of Crime (OVC) to hold a workshop entitled, Stolen Futures: A Forum on Child ID Fraud. Experts presenting at the workshop referenced additional research that found that identity thieves target children 51 times more than adults. The reason, the experts explain, is that a child’s Social Security number is unused, making it easier for identity thieves to associate a different name and birth date to it.

Child advocates recommend that parents become more vigilant in protecting their child’s personal information. For example, asking questions about how a child’s social security number will be used, handled and disposed of is important. Caution, awareness and monitoring, the experts agree, are the best preventative measures.

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Banks, Credit Card Companies And Stores

When identity theft happens it not only is a problem for the individual whose identity was stolen it also is a financial loss to banks, credit-card companies and stores. This is because the victim might not be held responsible for any loss regarding money or products, but the places where the loss occurred will be taking the overall financial loss.

Causes Problems For Debt Collectors

When a person has their identity stolen it becomes a major problem that debt collectors have to deal with regularly, as well. This is because it takes the victim a lot of time to go figure out what debts are theirs and which ones were caused by the thief who stole their identity. This actually can take up to a year.

Basically, identity theft causes a lot of problems that take time to fix thus if you’re a victim of this type of theft you must do these things that will help you handle the whole situation in a manner that will keep you sane.

• Have patience with all the people who might call in regard to your identity theft.
• Remember, it will take time and energy to clear everything up.

If you do these two things, then starting over after this awful theft happens to you will be a little easier on you financially and emotionally.

Read on at bestidentitytheftprotection.net (identity theft protection reviews).