Videos

Automotive Rear View Camera Demonstration on TI’s DM6437 Evaluation Module

Rear view camera image processing is one of the key emerging capabilities of advanced driver assistance and safety systems. In this demonstration by Goksel Dedeoglu, manager of TI’s Vision R&D, images captured by a rear view camera are fed to a 500 MHz DM6437 (TMS320DM6437) EVM. Algorithms running on the board eliminate fisheye lens distortion

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Circular Traffic Sign Recognition on a 500 MHz Texas Instruments DM6437 EVM Board (Chinese Language Soundtrack)

Traffic sign recognition is one of emerging capabilities of advanced driver assistance and safety systems. In this demonstration, images captured by a 30 fps color camera are fed to algorithms running on a DM6437 EVM board and analyzed to detect circular traffic signs. When red circles are detected, they are further analyzed and classified within

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CircularTrafficSignRecognition

Circular Traffic Sign Recognition on a 500 MHz Texas Instruments DM6437 EVM Board

Traffic sign recognition is one of emerging capabilities of advanced driver assistance and safety systems. In this demonstration, images captured by a 30 fps color camera are fed to algorithms running on a DM6437 EVM board and analyzed to detect circular traffic signs. When red circles are detected, they are further analyzed and classified within

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C6748FaceDetection

Face Detection Demonstration on Texas Instruments’ C6748 DSP Development Kit

The face detection demo algorithm included in the C6748 Sys/BIOS software development kit demonstrates the capability of the device to capture images, process the images on a TI C6748 DSP and then display the images on the output. OpenCV's cxcore library is used to identify a face. The input is captured using a standard composite

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Blind Spot Detection Demonstration on CV220X Image Cognition Processors

CogniVue's blind spot detection demonstration illustrates how the CV220X, a 9x9mm2 package device consuming less than 250mW of power, can be embedded and used in a camera module in a vehicle's side mirror. In this demonstration, vehicles entering a 3 meter blind spot of the host vehicle are detected and tracked. The indicator turns red

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CogniVue Motion Detection and Tracking Demonstration

CogniVue's motion detection and tracking demonstration shows how an individual's motion is identified and tracked. This basic demonstration software runs on the CV220X Image Cognition Processor, a low power, 9x9mm2 SoC designed specifically for image processing and pattern detection/recognition functions, useful in a variety of computer vision applications.

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Smart Enhanced Backup Camera Application Software for CV2201 Image Cognition Processors

CogniVue's smart enhanced backup camera application software runs on the CV220X family of Image Cognition Processors and provides a complete smart rear view application for ensuring driver safety while reversing, in order to avoid back-over accidents and collisions. The software performs wide angle lens distortion correction, object detection, and distance estimation in real-time using a

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A Collision Avoidance System Demonstration on CogniVue’s CV220X Image Cognition Processor

CogniVue's collision avoidance system demonstration uses the CV220X Image Cognition Processor to detect and track a vehicle's lane as well as detect and track an obstacle vehicle in the path of the host vehicle. An alarm indicator signals when the obstacle vehicle comes within a warning threshold distance. The CV220X offers the best performance, per

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