Vision4ce recently unveiled the Charm 100NX video processing board built upon Nvidia’s Jetson Xavier NX, hailed as the world’s smallest AI supercomputer. The Xavier NX provides more than three times the AI processing performance of the earlier Jetson TX2 processor at the heart of the original Charm 100 product.
The new standalone board is ideal for highly sophisticated embedded video and image processing applications. It is designed to host Vision4ce’s FrameWorkx software and can include the company’s field-proven DART (Detection, Acquisition, with Robust Tracking) real-time, low-latency target tracking technology.
Capabilities of the Charm 100NX include:
• Multiclass classification and object detection.
• Video compression and recording – H.264, H.265, M-JPEG.
• Electronic image stabilisation.
• Image enhancement.
• Camera control.
• Servo platform control.
• Multiple parallel processing channels.
Video interfaces are provided for 6G, 3G, HD and SD SDI digital video, along with a mezzanine board for video interfaces such as YPbPr, CameraLink, CoaXPress and LVDS.
The FrameWorkx image processing framework provides video capture and display functionality, along with support for standard Vision4ce image processing libraries. It also includes an API for the implementation of alternative image enhancement algorithms, which allows customers to develop and deploy their own C++ processing libraries.
Vision4ce offers both hardware and software solutions for video tracking. The DART video tracking product is a software-based tracker that can run on either a Linux or Windows platform based on Intel or ARM processors.
The Vision4ce Charm hardware products use the DART software hosted on an embedded multicore ARM processor module for complex video tracking and image processing requirements. The module, with its camera and display interfaces, is hosted on a carrier card which provides standardised video interfaces such as PAL, NTSC, YPbPr and HD-SDI for connection to the imaging sensors. If needed, custom carriers can be provided to support other standardised video interfaces such as CameraLink, CoaxPress, etc.
The core Charm module can also be supplied for integration onto a host board.
A video tracker analyses video image sequences from a sensor system mounted on a servo-controlled pedestal to keep the camera pointing at the desired person or object. In this context the tracker has two functions: detecting and locating objects of interest in the video image and controlling the platform (pan and tilt) position and rate such that the camera follows the designated object.
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