Smart Camera: Revolutionizing Visual Perception with Computer Vision
By Fouad Sabry
()
About this ebook
What is Smart Camera
In addition to being able to extract application-specific information from the images that are captured, a machine vision system that is referred to as a smart camera (sensor), intelligent camera (sensor), (smart) vision sensor, intelligent vision sensor, smart optical sensor, intelligent optical sensor, smart visual sensor, or intelligent visual sensor is also capable of generating event descriptions or making decisions that are utilized in an intelligent and automated system. There are many different types of machine vision systems. A smart camera is a vision system that is self-contained and operated independently. It is housed within the casing of an industrial video camera and has an image sensor integrated in. There is the possibility of integrating the vision system and the image sensor into a single piece of hardware that is referred to as an intelligent image sensor or smart image sensor together. In addition to having all of the necessary communication connections, such as Ethernet, it also has industry-proof 24V I/O lines that can be used to link to a programmable logic controller (PLC), actuators, relays, or pneumatic valves. These lines can be either static or movable.It does not necessary have to be larger than a surveillance camera or an industrial camera. In the field of machine vision, the term "capability" typically refers to a level of development that has reached the point where the capabilities are ready to be utilized on specific applications. When compared to vision systems that are based on personal computers, this design has the advantage of having a smaller volume and frequently achieving cheaper costs. However, this comes at the expense of a user interface that is relatively simpler or even absent altogether. In addition to being referred to by the more broad term "smart sensors," smart cameras are also in use.
How you will benefit
(I) Insights, and validations about the following topics:
Chapter 1: Smart camera
Chapter 2: Computer vision
Chapter 3: Machine vision
Chapter 4: Video camera
Chapter 5: Cognex Corporation
Chapter 6: Image sensor
Chapter 7: Traffic enforcement camera
Chapter 8: AI accelerator
Chapter 9: Event camera
Chapter 10: Intelligent transportation system
(II) Answering the public top questions about smart camera.
(III) Real world examples for the usage of smart camera in many fields.
Who this book is for
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Smart Camera.
Related to Smart Camera
Titles in the series (100)
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Book preview
Smart Camera - Fouad Sabry
Chapter 1: Smart camera
A machine vision system that, in addition to image capture circuitry, is capable of extracting application-specific information from the captured images, along with generating event descriptions or making decisions that are used in an intelligent and automated system is referred to as a smart camera (sensor), an intelligent camera (sensor), a (smart) vision sensor, an intelligent vision sensor, a smart optical sensor, an intelligent optical sensor, a smart visual sensor, or an intelligent visual sensor. It is either stationary or mobile and has all of the essential communication interfaces, such as Ethernet, as well as industry-proof 24V I/O lines for connection to a PLC, actuators, relays, or pneumatic valves. Additionally, it has all of the necessary communication connections. It is not necessary bigger than a security camera or an industrial camera. A capability in machine vision is often defined as a level of development at which the capabilities in question are at the point where they are ready to be used on specific applications. When compared to PC-based vision systems, this design offers the benefit of a more compact volume. It also often achieves cheaper costs, however at the sacrifice of a user interface that is either considerably simpler or not present at all. The phrase smart sensors
is sometimes used to refer to smart cameras,
which is more generic.
1975 was the year that saw the first appearance of the phrase smart camera.
It was hypothesized that they may be used as a form of intelligent on-board editing and reduction of data.
Since the middle of the 1980s, companies have begun commercializing intelligent cameras. In the 21st century, they have achieved widespread usage as a result of technological advancements that have enabled a reduction in their size while simultaneously increasing their processing power to several thousand MIPS (devices with 1 GHz processors and up to 8000MIPS are available as of end of 2006).
The field of photonics and artificial intelligence mutually benefit from one another. It is an advancement on the technology that Exmor has already developed.
The following is a list of components that are often included in smart cameras; however, their inclusion is not required in every model:
Image sensor (matrix or linear, CCD- or CMOS)
Image digitization circuitry
Image memory
processor (often a DSP or suitably powerful processor)
program- and data memory (RAM, nonvolatile FLASH)
The interface for communication (RS232, Ethernet)
I/O lines (often opto-isolated)
Lens holder or built in lens (usually C, CS or M-mount)
Device for lighting that is built in (usually LED)
Real-time operating system that was built specifically for this purpose (For example VCRT)
Optional video output (e.g. VGA or SVGA)
Energy provision through e.g. energy harvesting
Because smart cameras are equipped with their own processors, they are well suited for use in situations in which several cameras need to function independently and often asynchronously, as well as in situations in which dispersed vision is necessary (multiple inspection or surveillance points along a production line or within an assembly machine). In general, smart cameras may be used for the same kinds of applications that need more complicated vision systems. In addition, they can be utilized in certain applications where the use of bulkier devices and PCs is prohibited due to volume, cost, or reliability limits.
The following are some common areas of application::
examination by automated means for the purpose of quality control (detection of defects, flaws, missing parts...)
non contact measurements.
separation of components and labeling of parts.
reading of codes and checking for accuracy (barcode, Data Matrix, alphanumeric etc.)
Web inspection is the process of inspecting constantly flowing materials such as coils, tubes, wires, and extruded plastic with the purpose of finding defects and measuring their dimensions.
for the purpose of robot guiding and automated picking, the sensing of position and rotation of components
unattended surveillance (detection of intruders, fire or smoke detection)
identification of the user's biometrics and restriction of access (face, fingerprint, iris recognition)
networks of vision sensors and intelligent dust
robot guidance
the vast majority of machine vision applications
Developers have the option of either purchasing smart cameras and writing their own programs for unique, tailor-made applications or purchasing ready-made application software from the maker of the camera or from a third party source. Both options are available to developers. Custom programs can be developed through the use of programming in a variety of languages (typically C or C++) or through the use of more intuitive, albeit somewhat less flexible, visual development tools. These tools enable existing functionalities (often referred to as tools or blocks) to be connected in a list (a sequence or a bi-dimensional flowchart) that describes the desired flow of operations without the need to write any program code. The primary benefit of using a visual method as opposed to programming is that the development process is quicker and, to some extent, simpler, and is open to users who are not programmers. Other development tools are available, some of which have a very low number of features but a reasonably high degree