We need to implement a Computer Vision (CV) system that will receive images and/or video streaming from CCTV systems. We want a tested pre-trained algorithm as YOLOv4, YOLO9000, OpenCV with the standard prediction of 1,000 classes/labels (as trained on ImageNET).
Algorithm to be used is suggested to be OpenSource as: YOLOv4, YOLO9000, OpenCV, etc. we can consider other options.
The solution must be implemented on a VPS (Virtual Private Server) or similar server that will be provided by us, but the requirements of the server must be specified by you.
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Hi. Thanks for your job posting.
I read your project carefully and am very interested in your project.
I am a machine learning and computer vision expert and have rich experience with yolo version.
If you want to check my past demos, I can provides them immdediately.
Please contact me.
Regards
Hi, we have a team of developers that meets your requirements. Your project consists of two parts. We can provide you:
1) A server-side specialist who will manage the Linux server and prepare a top-level script that sits on the server. The script will receive and manage images from the CCTV feed and run the classification algorithm at the back-end. It will process and dump/store the data as you require.
2) A specialist in deep vision who will oversee the computer vision aspect of the project and make sure that the classification algorithm works properly
Lets us know if you are interested in working with us. Cheers!
Hi,
I just quit my job due to the impact of covid
I will be very happy if I can take the job from you
Please contact me. You will achieve the desired effect with the cheapest price
I had required skills for this project. Even though i have made so many projects based on computer vision like custom object detection, mask detection and car detection. i have good experience using yolo architecture.