What’s machine perception?

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Machine perception is the ability of a computer system to interpret data like humans. It aims to equip the system with hardware and software to recognize images, sounds, and touch to enhance interactivity with humans. It involves using audio and video inputs to anticipate additional information, reducing the time to identify useful information. Improved machine perception can be helpful in various situations, including accessing health data. While still a work in progress, machine perception is becoming a reality with systems that can communicate with humans.

“Machine perception” is a term used to identify the ability of a computer system to interpret data similar to the way humans use their senses to relate to the world around them. Considered a form of artificial intelligence, the goal of machine perception is to equip the computer system with the necessary hardware and software to recognize images, sounds, and even touch so as to enhance the interactivity between human operators and machines. Advances in machine perception include both online and offline applications, helping machines be more supportive to operators.

The concept of machine perception calls for the inclusion of software that allows computer systems not only to process direct commands, but also to use audio and video inputs to anticipate additional information that might be useful. This would involve the ability of the system not only to use directly accessible resources, but also to draw on other sources of data using authorization codes and encryption available to the machine and to communicate this data to the people who manage the system. With this approach, machine perception could reduce the time it takes to identify useful information, especially if the human subject is unsure of how or where to look for the required data.

Machine perception has been a goal of computer technology since the creation of the first electronic brains in the first half of the 20th century. Science fiction writers and later films dedicated to futuristic societies often portrayed this type of interaction between humans and machines as becoming almost like two individuals having a conversation. With ongoing efforts to improve computer operations so that this type of communication is possible, at least some of these old visions for the future are already in place.

There are a number of situations where improved machine perception can be extremely helpful. For example, a request from a licensed physician about a particular patient’s medical history may go beyond the records associated directly with that physician to include any health data about that person that is in the public domain or any other databases of health information that your computer can legally access. This means that if there are journal reports of a patient being involved in a traffic accident several years ago, or that the patient was treated for a particular illness or injury while travelling, the information is included in the returned results, allowing the physician to assess the patient’s current position more competently.

While still a work in progress, the perception of the machine is now a reality. There are systems that can communicate by voice and with limited visual capabilities with humans. Experimentation with touch access to systems is also found in systems of a high security nature, which helps reduce the potential for illegal access to proprietary data.




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