MT9V113PACSTCH-GEVB

Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us:   sales@allicdata.com

The MT9V113PACSTCH-GEVB is an evaluation board with an integrated sensor that is designed to work as an automatic pick-and-place solution. The board can detect and identify objects based on their shape and size. It is a versatile board that can detect a variety of shapes, sizes, and colors. The board also features a scanning system that can rapidly identify and recognize objects in its field of view.

The MT9V113PACSTCH-GEVB board is powered by a dual-core Texas Instruments MSP430F5519 processor. This enables the board to process a high volume of data and makes it suitable for pick-and-place solutions. The board utilizes an integrated NXP LPC818-3-DMG sensor which enables the board detect objects at a resolution of up to 1024 x 768 pixels. The board also makes use of a high-intensity infrared LED illuminator which provides a uniform lighting environment and aids in detecting objects quickly.

The board works on multiple object detection algorithms to accurately detect and recognize objects at any angle. It uses an advanced image processing and pattern recognition technology to accurately detect objects in 3D space. After the object has been identified, the board can then provide feedback to a controlling device based on its scanned results. This feedback can then be used by the controlling device to control other devices, such as servos.

The board can be controlled via the USB port. It supports a wide variety of software development tools, including the C/C++ compilers, IDE, and debugging tools. Additionally, the board can be easily interfaced with other devices through the on-board expansion slots. The board also comes with a comprehensive software library which makes it easy to use with various embedded systems.

The MT9V113PACSTCH-GEVB board is a powerful and reliable evaluation board designed for pick-and-place solutions. It makes use of advanced technologies to accurately identify and recognize objects in its field of view. It is an ideal board for industrial automation, robotics, and other object recognition applications. The board is easy to use and can be interfaced with other devices. It is a great choice for a wide range of applications.

The specific data is subject to PDF, and the above content is for reference