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The Machine Intelligence Box (MIB) is an innovative, compact, and highly scalable hardware solution that brings the power of machine intelligence to industrial applications. With its small yet powerful computer, which is typically a Raspberry Pi 4, but can also be any NVidia Jetson Ai computer, the MIB offers versatility and adaptability.
The MIB supports various input and output ports, allowing for seamless integration with a wide range of cameras and sensors. Its compact size allows for easy installation in any industrial setting, while its seamless data collection capabilities enable optimized production line processes, including efficient quality control or precise sorting operations.
Read the comprehensive list below to discover the compelling reasons why incorporating the MIB into your workflow is a valuable choice.
No Data? No Problem! Simply connect the MIB to your network using an Ethernet cable, and it immediately starts collecting valuable data from the connected camera or any digital sensor. The MIB seamlessly sends data to an industry standard OpenTelemetry collector, allowing you to choose where the data is saved. This can be either a database server provided by us or your own database system. Our PostgreSQL database server can be in the cloud or on any local computer that meets the hardware requirements.
While the MIB is perfect in processing data, consider expanding its capabilities by adding more MIBs or upgrading to a more powerful machine to effortlessly handle high volumes of data from multiple sensors.
Leveraging the collected data, the MIB performs real-time artificial intelligence processing, enabling quick and accurate evaluation of measurements. From Raspberry Pi to Jetson and even larger industrial machines, the MIB scales with your needs horizontally and vertically, providing the ideal solution. The MIB is an integral part of the MIND platform, powered by the ONNX engine!
The MInD platform allows the AI module to be deployed on a remote machine, whether in the cloud or on a local computer. The MIB transfers the measured data, enabling the remote machine to handle resource-intensive operations beyond the capacity of the MIB edge computer, leading to informed decision-making based on the received response.
The data measured by the MIB’s sensors are temporarily stored on a remote machine in a Prometheus time series database which can be in the cloud or on any local machine. You can retrieve this data at any time and display it on a Grafana chart via a web browser on any computer that has access rights to the remote machine.
An arbitrary alarm can be set for the monitored data in the event of exceeding a predefined limit value. This alert can be sent by email or in any form of chat.
The MIB is designed to accommodate the most cameras and digital sensors from leading industry manufacturers, ensuring compatibility with your existing infrastructure. Whether it’s the default Raspberry Pi HQ camera or another preferred option, the MIB seamlessly integrates with your chosen input hardware setup.
To solve this, the MIB offers a variety of connection options, including USB, LAN, I2C, and RS485, enabling seamless connectivity. Learn more about these features at the provided link. With scalability in mind, the MIB can adapt and expand alongside its users.
With a footprint of just 127.5 mm x 108 mm x 42 mm and 398g, the MIB requires minimal space, making it an ideal fit for any industrial environment. Additionally, the MIB operates efficiently either with a 24V power supply of 15W or PoE through the network cable, eliminating the need for a separate power source. In short, a minimum of IEEE 802.3af POE can supply adequate power.
Simplified installation enables a seamless entry into the world of artificial intelligence for your company.
Unlock the potential of AI and optimize your production processes with the MIB. Embrace innovation, transform your operations, and embark on an exciting journey with the Machine Intelligence Box.
Software engineer, with 10+ years of experience in software development for various manufacturing industries.
Former business software developer.
Experienced in small team management.
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