Why are Manufactures Shifting to Embedded Vision Systems?

For tackling the growing competition across the manufacturing and production market, manufacturers are massively shifting to embedded vision-based systems. Deploying embedded vision-based systems delivers numerous advantages to both small and large manufacturing units. From reducing the production costs to increase the production rate, embedded vision promises to bring a new era across the manufacturing sector. Embedded vision systems consist of high-tech cameras and processing boards.

Investing in embedded vision systems proves to introduce remarkable transformation in the ways of managing manufacturing assets while saving time and money.

Embedded vision systems are available in small size, lightweight, low cost, and low energy consumption features, which make it more favorable for the adoption. Some of the embedded vision benefits are listed below.

Easy to Use

Installing smart cameras connected with intuitive user interface proves to be a simple but effective solution for manufacturing professionals. From user-friendly interfaces to instant alert systems, embedded vision systems allow the manufacturing professionals to limit down any chances of mishaps or failures by predicting and precisely monitoring the assets’ condition and production capacity.

Low Cost of Investment

Embedded vision systems are less expensive but deliver more dynamic performances. Embedded vision systems are designed to be easier to deploy, which also saves the cost from hiring programmers for setting up the system across the existing infrastructure.

Ideal for Complex Applications

Embedded systems also offer the benefits of automatically controlling particular processes and programs across the manufacturing units. For example- controlling lights or temperature at a specific stage of the production process, detecting any abnormal or suspicious activities, and more at the manufacturing units simplify monotonous and critical programs.

Advanced solutions like embedded vision systems promise to upgrade various processes and programs across the manufacturing units. From automating specific processes to creating a user-friendly network to operate, the embedded vision system is a perfect example of both brilliant and cost-effective solutions.

How Machine Vision Broadens the Spectrum of Embedded Systems?

Machine vision is increasingly contributing to the world of embedded systems. The need for efficiency, coupled with the pressure to restrain the cost, is leading to component-based imaging systems. With the advancement in technology and an increase in the number of smart industrial wearables, the need to lace the devices with imaging capabilities has also gained essence.

Embedded vision systems have been largely used in mobile devices. However, advancement in technology is expanding the possible use cases of embedded vision into other landscapes as well. In the coming few years, embedded vision technology will be found almost everywhere, ranging from heavily automated smart factories to ubiquitous everyday devices.

Although a PC-based vision system offers good performance, it can be bulky and complex. On the other hand, embedded vision systems consist of an independent computer system that can be integrated directly into an electrical system or a larger mechanical system. Further, embedded systems are cheaper and easier to use than the PC-based counterparts. Minimal maintenance overheads also make embedded vision systems a lucrative option.

Machine vision is all set to enhance the potential applications of embedded systems via component-based imaging systems.

In the embedded world, a camera integration works with a USB or GigE interface, which is analogous to a plug-and-play solution connected to a PC. Camera manufacturers are providing their software development kit (SDK) in a format that also works on an ARM platform so that users can reconcile a camera in a similar fashion as on a personal computer (PC).

An embedded system can be specialized to an even higher level for certain applications. System on Module (SoM), which is a board-level circuit, integrates system functions in a single module. The highly compact SoM modules can contain only a processor such as a memory chip, microcontrollers, or other essential components. Computer vision capability will enable SoM systems to perform image processing, thereby reducing latency and bandwidth consumption.

Machine vision is improving the efficiency and throughput of the embedded systems. With powerful processing capabilities, embedded vision systems will contribute immensely to a wide range of industrial applications.

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