Machine vision and machine learning, along with high-speed networking, are bringing about the fourth industrial revolution- Machine Vision Industry 4.0. Emerging technologies in the arena of machine vision (MV) include pairing machine vision with artificial intelligence, robotics, smart glasses. They can shape the future of the industrial application of IoT.
What is IoT (Internet of Things)?
The Internet of things (IoT) is the network of physical objects or devices—“things”—that are equipped with sensors, software, and other technologies so that they can connect and exchange data with other devices and systems or grant remote access to a user, over the Internet. Any physical object or living being can be transformed into an IoT device if connected to the Internet to be controlled or to communicate information by providing a unique identifier(UIDs) to the device or the living being. An IoT device could be anything – a heart monitor implant, a farm animal with a biochip transponder, smart mobiles, smart refrigerators, smart bicycles, medical sensors, fitness trackers, jet engines, etc.
Components of IoT systems
IoT systems are made up of four distinct components:
- Sensors/devices which collect data.
- Connectivity to a cloud with cellular, satellite, Wi-Fi, Bluetooth, via a gateway/router or directly to the Internet via Ethernet.
- Data processing via software.
- A user interface whereby the information is made available, and the user can perform actions.
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Role of AI and ML in IoT
Artificial intelligence and Machine Learning can be embedded in IoT to make IoT even smarter. AI and ML improve the system’s ability to learn to rely on experience instead of relying on explicit programming. IoT’s potential can be leveraged to improve decision making, enhance risk management and develop new products and services.
How Machine Vision Partners with IIoT (Industrial Internet of Things)?
When machine vision is integrated with IoT devices, the system achieves greater independence and advanced decision-making capabilities. The combination not only detects objects within a camera frame but also do a visual analysis about their state, condition, or orientation and shares the data.
The combination of the two increases machine vision intelligence by using algorithms. Manufacturers can get better insights into system operations, plant and factory activities, and implement advanced inspection processes.
How will introducing IoT improve the decision-making of MV?
As industrial automation increases and the number of smart devices grows, the data created by IoT devices has increased exponentially. This can be used in various industrial applications of IoT. Machine learning can capitalize on this data intelligently. Machine vision systems get valuable data points for improved analysis and insights. ML eliminates junk data, sort useful data, recognize patterns and eliminate bias from business decisions. This can improve processes like predictive maintenance and user experiences.
Also, Read Machine Vision and AI- 4I Methodology
Advantages of IoT and Machine Vision
Integrating IoT applications with machine vision produces a host of benefits:
- Reducing bandwidth
Machine vision is used widely in the inspection. High-performance camera systems enhanced with AI sensors are used here. The IoT’s machine vision component allows for immediate analysis of data at the source of the data and there is reduced usage of server processing power and network bandwidth.
- Improve manufacturing efficiency
In manufacturing industries, AI machine vision is used for robot guidance systems. The inspection machines communicate directly to one another instead of communicating through the central enterprise servers. This reduces data load on the network while increasing the efficiency of the process.
- Predictive maintenance
Another remarkable feature of machine vision is the ability to give warning signs. When maintenance and repair are required, advanced IoTs can predict failures and repairs needed. Companies can avoid total shutdown, which means fewer delays, lesser loss of work hours, and decreased costs.
- Enhanced customer experience
With the use of machine vision, companies can influence customers’ behavior and purchasing patterns. Creative, individualistic, and unique user experience journeys can be created and the right products can be recommended. Machine vision significantly changes services by adding more automation, enhancing data analytics, and communicating need-to-know information.
Also, Read 3 Uncommon Applications of Machine Vision
How Will Manufacturers Benefit from Machine Vision?
Multiple technologies working together, real-time analytics, omnipresent wireless networks, cheap computer chips, and software applications have made the Machine vision industry 4.0. a reality. IoT applications aided by AI Machine vision can improve operations, decrease costs, enhance productivity, and reduce risk. Some ways manufacturers benefit from machine vision-
- Machine vision can manage repetitive work faster with lower errors. It is useful in assembly lines and factories.
- Human resources can be shifted to more complex tasks while mundane tasks are done by machine vision, thereby aiding innovation and growth for human personnel.
- Machine vision can work in hazardous environments and provide higher safety and hygiene in production lines.
- They can gather data that can be used for process improvements, calibrations, and advanced analysis.
Conclusion
In a rapidly evolving market, companies utilizing IoT technology with machine vision will stand out by displaying innovation, flexibility, efficiency, and accuracy. The Internet of Things increases efficiency by enabling organizations to make better use of time materials and labor. IoT technology coupled with AI, Machine Learning, and Machine Vision provides opportunities to grow and meet the competitive marketplace’s evolving needs.
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