Comparing Y-C7 and Boxer-8224AI Carrier Boards
Carrier boards are essential components of AI-enabled systems. Deciding the right carrier board for a specific application can often be a challenge. Two carrier boards which have been gaining attention in recent times are the Y-C7 and the Boxer-8224AI. They feature different hardware and software components, making it important to compare the two for the right fit.
The Y-C7 is built on the NXP i.MX 8M System-on-Chip (SoC) and is powered by the ARM Cortex-A53. It comes with GeEPA RAM and 8GB eMMC on-board storage, as well as GPIOs, UART, I2C, and SPI lines and several I/O headers. The Boxer-8224AI is based on an Intel Celeron quad-core processor and utilizes OpenVINO acceleration for AI inferencing. It is equipped with 8GB of RAM and 4GB of eMMC storage. Both the boards feature several USB 3.0 ports, HDMI port for video out, and an M.2 2242 slot for expanding the memory.
When it comes to their applications, the Y-C7 is suitable for low-power yet powerful face recognition, object detection, and tracking systems. The Boxer-8224AI is suitable for computer vision tasks including classification, object detection, object tracking, and speech recognition. As it supports various frameworks, it is ideal for applications like video analysis, language processing, facial recognition, and healthcare.
Making a choice between the two boards largely depends on the application at hand. The Y-C7 is capable of being used for applications in industrial automation, security, and transportation. It is ideal for projects with low power and processing requirements, due to its NXP SoC and ARM Cortex-A53. On the other hand, the Boxer-8224AI is most suitable for applications where greater precision and accuracy are necessary, such as healthcare and analytics.
In conclusion, both Y-C7 and Boxer-8224AI carrier boards are powerful tools for AI-enabled systems. Depending on the project at hand, it is important to decide which of the two boards is best suited for the requirements.