Allicdata Part #: | 296-43440-ND |
Manufacturer Part#: |
DLPNIRSCANEVM |
Price: | $ 5.54 |
Product Category: | Development Boards, Kits, Programmers |
Manufacturer: | Texas Instruments |
Short Description: | EVAL NEAR-INFRARED SPECTROMETER |
More Detail: | DLP4500NIR DLP® NIRscan™ Light, Spectrometer Senso... |
DataSheet: | DLPNIRSCANEVM Datasheet/PDF |
Quantity: | 2 |
Lead Free Status / RoHS Status: | Not applicable / Not applicable |
Moisture Sensitivity Level (MSL): | 1 (Unlimited) |
1 +: | $ 5.04000 |
Series: | DLP® NIRscan™ |
Part Status: | Active |
Lead Free Status / RoHS Status: | -- |
Sensor Type: | Light, Spectrometer |
Moisture Sensitivity Level (MSL): | -- |
Sensing Range: | 1350nm ~ 2450nm |
Interface: | I²C, USB |
Sensitivity: | -- |
Voltage - Supply: | 12V |
Embedded: | Yes, Other |
Supplied Contents: | Board(s) |
Utilized IC / Part: | DLP4500NIR |
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Introduction
The purpose of this paper is to examine and explain the application field and working principle of the DLPNIRSCANEVM (Dynamic Light Positioning Near Infrared Sensing Camera Evaluation Module). The module is a complete system-on-module (SOM) with a near-infrared imager that can be used in a number of applications, including machine vision and robotics. By understanding the DLPNIRSCANEVM, applications may be more effectively developed and utilized.
Background Information
The DLPNIRSCANEVM is a fully integrated SOM, based on the STM32MP1 microcontroller from STMicroelectronics. The SOC integrates the Cortex-A7 core and the Cortex-M4 core into one device, and is designed for industrial and IoT applications. The SOM module also features an NIR camera with a 5 megapixel NIR image sensor, which is designed to detect objects and measure their distance. The module also features a 3.3 Volt 24-bit ADC, with a 0.5cm accuracy, which is used for sensing light in the near-infrared range. Additionally, the module includes a mini-PCIe socket, which is used to connect the SOM to external devices, such as a monitor or LEDs.
Application Field and Working Principle
The DLPNIRSCANEVM can be used for a wide range of applications, including machine vision and robotics. By using the embedded near-infrared image sensor and sophisticated algorithms, the module can help in applications such as object detection, distance measurement, material recognition, and pattern recognition. The module can also be used to help with navigation and localization by tracking objects in an environment.
When the module is used for machine vision and robotics applications, the embedded NIR camera and 24-bit ADC will typically need to be connected to a regular camera, such as a USB camera, which will capture the visible range of the light spectrum. The DLPNIRSCANEVM will then use the NIR camera and ADC to accurately determine the distance of the object from the camera. The module can then be used to identify objects or measure the distance of an object from a given point. This information can then be used to control a robot or other device.
The module also features a mini-PCIe socket, which enables the SOM to be connected to external peripheral devices, such as monitors or LEDs. The module can then be used to control the display on the monitor or to control the LEDs, allowing for interesting visual effects. Additionally, the SOM can be used to control robotic arms and other motion-tracking robots.
Another application of the DLPNIRSCANEVM is in the field of navigation and localization. The module\'s 24-bit ADC and NIR camera are used to accurately detect objects at a distance. This information can be used to localize a robot, or to detect obstacles in the environment. By using the module in this way, robots can successfully navigate in an unknown environment.
Conclusion
In conclusion, the DLPNIRSCANEVM from STMicroelectronics is a versatile and comprehensive SOM, with a near infrared camera and 24-bit ADC, designed for industrial and IoT applications. The module can be used for a wide variety of applications in the field of machine vision and robotics, including object detection, distance measurement, material recognition, and pattern recognition. Additionally, the SOM can also be used for navigation and localization by tracking objects and obstacles in an environment. So, if you are looking for a comprehensive and versatile solution for your machine vision and robotics projects, then the DLPNIRSCANEVM is the perfect choice.
The specific data is subject to PDF, and the above content is for reference
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