There are ALOT of Synology first-party applications available in DSM 7.1 and chances are that you are going to be using at least 2-3 regularly (backups, multimedia, surveillance, collaboration tools, virtual machines, general sharing, etc), so knowing if the use of 3rd party storage media i...
Raspberry Pi-powered surveillance cameras are great for security-conscious tinkerers, but an RFID locking system is even better if you want to build a fun yet useful project. Developerrrussis82’sRFID Access Control projectexpands upon this idea with an Arduino Yun and a Raspberry Pi Zero W. ...
Meaning: In 8 gen i3, I am experimenting "person" detection / "pet" detection for a home based surveillance solution, using 1) OpenCV 3.4 Python DL Libs, 2) Python2.7, 3)Ubuntu 16.04, the live video Inputs are taken from two IP Cameras. Performance Benchmark: About 98% to 99...
Running late for my trip to Dubai, I came upon her—a woman in flowing peach abaya gliding across the terminal with amazing grace. She seemed to float easily while I battled with my roller bag and large coffee. She grinned at security when she saw me observing. “First trip to the Gulf...
For those, who use their own and allow remote access over the internet with default admin credentials… Well, they’ll either learn, or keep exchanging the router after the Brikerbot hits them. I blame the manufacturers… What is the reason that telnet access enabled on the public side with...
Res. Public Health 2019, 16, 291 3 of 13 According to Dolley, big data can be used for a variety of purposes such as performing disease surveillance and signal detection, predicting risk, targeting treatment interventions, and, last but not least, understanding disease [22]. The different ...
This we have called the doctrine of original antigenic sin." Funding: Research reported in this publication was supported by NIAID grant R21-AI139813 and by grants from the NIAID-funded Centers of Excellence in Influenza Research and Surveillance (CEIRS) HHSN272201400008C. Acknowledgments: I would...
The experimental findings showed that the proposed YOLO-SO model achieves an accuracy of 84% for mAP value. Through the comparison of experimental results between the proposed YOLO-SO model and other object detection networks such as Faster R-CNN, SSD, and YOLO-V4, it can be demonstrated that...