I want to build a computer vision system were the system will be accepting an IP camera and it should count the humans appearing in the camera, once a human is captured the system should take a photo and store it on a physical location on the server
Note: the system supposed to work on a server hosted on aws, azure, digital oceans, godaddy or any cloud hosting
1- count number of humans appears on the IP camera and store the information in the DB like MySQL or Firebase real time DB with time of occurrence
2- take a photo and store it into a physical folder inside the server
Note once the system is approved a full code handover needs to be done
19 freelancers are bidding on average $280 for this job
Hello. I am a DIP expert. I have developed this kind of project(detecting race car and measure winning time). Your project is NOTHING for me. I will show you my works via chat. Thank you.
I am computer engineer and know how to best work with hardware and software both my fyp project was also a face recogniztion system i can do this for you. Feel free to chat and provide more details about your project.
Hi I have worked on object detection using IP cameras and counting algorithm. I have worked on aws s3. I can store the images on s3 buckets. Does your IP camera can be accessible remotely? Let’s discuss more.
I have 7+ years of experience in Data Science, particularly in Computer Vision and NLP. I think i am the right fit for the job having dealt with similar usecases in the past.
I am a computer vision PhD. With 10 year of working, I have finished a lot of computer vision projects. I have also done a similar project with high accuracy, therefore I believe that I can fulfill your requirements.
Hi, I have +5 years of experience dealing with machine learning algorithms and worked on multiple projects in this field, Please contact me to discuss more. Have a nice day
Hi Bro, I'm a Data Scientist and I would like to do this project. And the solution is readily available. I can customise as per your requirement. Kindly contact me. Thanks in advance.