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juancarlosromeroc's Projects

od icon od

compute distance from camera to object using OpenCV and python

omeganet icon omeganet

Distilled Semantics for Comprehensive Scene Understanding from Videos [CVPR 2020]

open_model_zoo icon open_model_zoo

Pre-trained Deep Learning models and samples (high quality and extremely fast)

opencv icon opencv

Open Source Computer Vision Library

openvino-yolov3 icon openvino-yolov3

YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO

openvino-yolov4 icon openvino-yolov4

This is implementation of YOLOV4,YOLOV4-relu,YOLOV4-tiny in OpenVINO2020R4 .

openvino_speech_recognition icon openvino_speech_recognition

This project is a speech recognition demo that uses OpenVINO, a TensorFlow Speech Recognition model, and can be deployed on Intel's CPU, GPU, and NCS2.

peoplecounter icon peoplecounter

In present days, people detection, tracking and counting is an important aspect in the video investigation and subjection demand in Computer Vision Systems. Providing (real time) traffic information will help improve and reduce pedestrian and vehicle traffic, especially when the data collected is learned and analyzed over a period of time, which makes its highly essential to identify people, vehicles and objects in general and also accurately counting the number of people and/or vehicles entering and leaving a particular location in real time. To perform people counting, a robust and efficient system is needed. This research is aimed at making a pedestrian traffic reporting system for certain areas and buildings around the campus to potentially help ease traffic circulation. Providing this information will be done through a developed application, which includes image processing with Open Computer Vision (OpenCV). This will show the amount of traffic in certain buildings or area over a period of time. OpenCV is a cross-platform library which can be used to develop real-time Computer Vision applications [Opencv, 2015b]. It is mainly focused on image processing, video capture and analysis including features like people and object detection. The operations performed were based on the performance and accuracy of the tracking algorithms when implemented in embedded devices such as the Raspberry Pi and the Tinker Board. The Pi Camera was used for real time vision and hosted on the embedded device. The proposed method used was conjoined with an open-source visual tracking implementation from the contribution branch of the OpenCV library and a unique technique for people detection along with different Filtering Algorithms for tracking this. The programming language of choice to implement these features (Tracking and Detection) is python and its libraries. The present work describes a standalone people counting application designed using Python OpenCV and tested on embedded devices ranging from the Raspberry Pi3 to a Tinker Board and a compatible Camera. All these were used in prototyping the design of this application. The results reported and showed that the Person-Counter system developed counted the number of people entering the designated area (down), and the number of people leaving (up).

poi icon poi

PLAN OPERATIVO INSTITUCIONAL

poi_pac icon poi_pac

Plan Operativo Institucional - Plan Anual de Contrataciones

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