Thanks for visiting Imaging and Machine Vision Europe.

You're trying to access an editorial feature that is only available to logged in, registered users of Imaging and Machine Vision Europe. Registering is completely free, so why not sign up with us?

By registering, as well as being able to browse all content on the site without further interruption, you'll also have the option to receive our magazine (multiple times a year) and our email newsletters.

Python sample script

Share this on social media:

The FRAMOS® engineering team shares Python sample script on GitHub that works directly with multiple Intel® RealSense™ cameras to create bounding boxes for any kind of item.

This sample Python script from FRAMOS can be downloaded from here.

Intel®’s RealSense™ cameras provide hands-on solutions to integrate high-quality 3D technology in embedded devices, or stand-alone solutions. High image-resolution, high frame-rates, and the integrated IR projector, allows for innovative applications in both indoor and outdoor environments. Depth data is generated on the embedded dedicated ASIC processor which processes raw image streams to compute high-resolution 3D depth maps. These 3D depth maps are created without the need for a dedicated GPU or host processor. The cameras and board modules are available with an SDK for Windows, Linux, and others, and provides code, debugging tools, and evaluation programs.

The newly released Python script for Intel®’s RealSense™ devices is based on FRAMOS’ in-depth knowledge of 3D solutions in industrial and logistics automation. This knowledge is used in this script to provide developers with a sample to create bounding boxes of objects. This can be used as a first step to create applications such as postal revenue calculation, storage space allocation, and, the sorting of objects based on package volume. Applications can benefit from this kind of 3D measurement to minimize overall volume; to decrease freight costs; or, to simplify and optimize shipment and warehousing. Developers building systems in the postal, storage, or sorting areas can get a head start by using this sample script. This is especially true for those expecting to design a multi-camera based application.

Also available from Framos is ON Semiconductor’s Latest EMCCD imager. The KAE-08152 image sensor captures critical imaging details with 8 MP resolution and enhanced NIR sensitivity in lighting conditions from sunlight to starlight.

ON Semiconductor has launched the newest model of its successful Interline Transfer EMCCD KAE sensor line, for high-quality imaging in extreme low-light conditions. The KAE-08152 is a 4/3” imager with 8.1 Megapixel resolution that provides increased Quantum Efficiency, specifically for NIR wavelengths. The exceptional low-light imaging performance of this sensor is a perfect fit for surveillance, ITS, scientific, and medical applications. All ON Semiconductor image sensors are available from the global imaging expert, FRAMOS®.

Sub-lux imaging is enabled by interline Transfer EMCCD technology. Each of the sensor's four outputs incorporates both a conventional horizontal CCD register and a high-gain EMCCD register, resulting in exceptional low-light imaging performance. The KAE-08152’s quantum efficiency (QE) is doubled at approximately 850 nm compared to the standard KAE-08151 to provide enhanced NIR sensitivity without any decrease in the device's Modulation Transfer Function (MTF). An intra-scene switchable gain feature samples each charge packet on a pixel-by-pixel basis, enabling the camera system to route charge through the normal gain output or the EMCCD output depending on a user selectable threshold.

Sibel Yorulmaz-Cokugur, Sensor Expert at FRAMOS, says: “ON Semi’s new KAE-08152 sensor enables imaging in extreme low light, even when bright objects are within a dark scene, allowing a single camera to capture quality images in widely varying conditions, from sunlight to starlight. Another image quality factor is the very low sub-electron noise for EMCCD.  All features lead to excellent image uniformity, required in applications where high-sensitive image recognition makes the difference.”

Potential applications that require extreme low-light imaging include wide fields of view for surveillance include border control, aerial monitoring and autonomous vehicles. Other examples like Intelligent Transportation Systems can take advantage of day/night cameras, electronic toll collection, and the precise observation enabled by this special type of image sensor. Astronomy and all types of microscopy applications can benefit from the exceptional image quality and low light performance of the KAE-08152 sensor. Additionally, the extremely high contrast and low readout noise can benefit both diagnostic and surgical procedures in the fields of fluoroscopy, ophthalmology, and dermatology.

The industry and product experts at FRAMOS apply their extensive knowledge of sensors and systems to support customers integrating new sensors into their applications and projects. This knowledge is provided together with the additional services of development support, customizations, and logistics.

Company: