Facial Recognition APIs and ecosystem

Great, I have built product called Clofus with face attendance using similar technology using CCTV camera footage for a school and we have can help build this system, google "Clofus" to know about our face recognition product This is my technical design 1) Haar classifier or OpenCV DNN classifier for face crop from video 2) Facenet or DLib can be used for embedding determination but I recommend OpenCV DNN which out performs under many circumstances 3) confidence score can be determined with SVM comparison 4) liveliness can be verified with additional training data for fake vs real photo using Dlib (more training sample more accuracy) Please let me know we can work on it and 100% delivery guaranteed and looking forward! Thanks

Dear sir. Your project attracted my attention at first glance, because I've extensive experience in Face Recognition Programming. I'm really confident about your project, and very eager to join your project. If we have a chance to cooperate, I'll do my best to provide wonderful result. Looking forward to your response. Best Regards.

As an experienced Machine Learning and Computer Vision developer using OpenCV and Python, I find your project very interesting. I have developed a strong foundation of machine learning skills using multiple knowledge sources (online courses, publications, Kaggle contests). I am passionate about developing predictive models and recommender systems using Machine Learning concepts. Image/Video analysis applications are my favorite type of Machine Learning applications and I have used OpenCV and Python most effectively in building numerous applications like Object detection, Face detection, Text recognition etc. I have extensive experience in using Python and associated Machine Learning tool kits like SciKit Learn, Matplotlib, Numpy, Pandas and I have developed multiple projects using same. My key strength area is my debugging and analytical skills which comes from my 15 years of professional experience as a software developer. I have a deep sense of ownership, commitment and work ethics. Once I take on any assignment, I dedicate my full time and resources to the same until it is completed as per customer's satisfaction. I have very good presentation and documentation skills and a good command over the English language (verbal as well we written) I eagerly await further details on your project so we can discuss more on the actual task requirements.

Hi, Greetings of the day! Building Facial Recognition APIs and ecosystem is one of our strongest points and we deliver the best results to it. We have built the Fastest correct face algorithm for Ever AI using machine learning with a 99.81% accuracy. I along with my team of 30+ data scientists and developers will ensure timely completion of your budget within the fixed budget. We can connect over chat to discuss further. Looking forward to hearing from you.

I am an outstanding and highly experienced freelancer offering services in Machine Learning, Deep Leaning mobile app development, Data science, Natural Language Processing, Computer Vision, script and utility. I offer original quality services to clients throughout the world. I have deep rich knowledge and skills as I have been in this field in the past five years. Skills: - Programming(Python/PHP/Java/C/C++/C#/HTML/XML/R,JavaScript) - AI(Text Processing/Image Processing/Machine Learning/Data Mining) - Android development - React native development - Big Data(Hadoop ecosystem tools like Hive/Spark/HDFS/...) - AWS / Heroku

Hi.. Hope you are fine. i am interested in doing your job . as i had more than 3 years of experience in this field .. hope you will find my work according to your requirement..

Hello, I am highly interested in your project and would like to apply to it. I am a Software developer with 7+ years of experience in .Net having Working Knowledge of “asp.net mvc” ,C#,”angular js”,”Web API”,”SignalR”,”sql server”,”Payment Integration”,”SMS integration” etc. I have a solid technical background in 3rd party APIs like Facebook, Twitter, Google API, shopping engines, except these I have good working knowledge of etc.

Hi, face identification is nothing but a biometric functionality. I would like to know about the device which you need to be implemented as a hardware. Our programming is depending a lot upon the device you choose because we will then make out the following things : 1. The output of the device and the format of output. 2. We will take the output to make it input function for our face recognizing algorithm. 3. The database I would recommend is Mongo DB and server side programming as Python because of built in libraries. Reason is both are secured and one can not easily hack the system. As security is prime concern here. We have made face recognition platform for one of our client, if you require then I may share the algorithm of it to you. Looking forward to hear the scope. Regards, Mit-