Pengenalan Wajah Jobs
Using Face Recognition software reduces interruption of clients and it generates useful information to improve security standards.
Businesses or organizations that use Face Recognition software embrace advancement in technology to reduce congestions and any sort of inconveniences that might result from the use of traditional methods of identification. Furthermore, it reduces chances of losing customers in a business. It is the fastest way to frisk customers or clients without arousing negative emotions associated with such frisks. Besides, the system allows performance of electronic procedures limiting human contact. The development and installation of the software require high-level programming and testing. Since most businesses find outsourcing Face Recognition development and installation a convenient and cheaper option, they will find Freelancer.com very useful in finding the right freelancer for the task.
Face Recognition jobs require professionalism and competency. It is for this reason that freelancers find it easy every time they have a contract with clients. The job requires premium services for which most clients are willing to pay, provided their needs are satisfied. With most businesses and institutions embracing Face Recognition, it shows that such professional services are in high demand. If you can offer such services, Freelancer.com is where you want to be.
Rekrut Face Recognition ExpertsHi all Please don’t parcipatr if you don’t have an idea or didn’t install this package before It’s easy but need exoerience
Looking for an OPENCV expert who have worked on Face Training, Detection, Recognition Systems with very high accuracy. My project is not only just above functions but it should include some web based designing where above functionality should meet easy interface to start the work. Strict Note : Only freelancer expert and not the company should apply and must also have expert knowledge about OPENCV, MongoDB, Python, DJango.
In the first part of this assignment, you will start from a small dataset and construct/learn features that describe the data. We discriminate two types of features, handcrafted features and features learned from data. In this assignment you will experiment with Histogram of Oriented Gradients (HOG) or Scale Invariant Feature Transform (SIFT) feature descriptors. You will explore Principal Component Analysis (PCA) in the context of face detection, so-called eigenfaces. In the second part of the assignment you will use the constructed features for face recognition using your favorite classifier. In the third part of this assignment you will participate in a kaggle competition and attempt to improve your classification pipeline in any way you please. Lastly, you will reflect on the entire as...
Hello We would like to have a computer vision home security solution to achieve the following 1. Perimeter security - To draw and create zones and get alerts when human/s or vehicles are detected within marked zones 2. Assign zones where people can enter and not enter for e.g. maids can go to the kitchen and surrounding areas, drivers can go to the garage and surrounding areas, etc, but alert if they are entering zones other than what is assigned to them. 3. To identify people using facial recognition 4. Configure ANPR software to detect vehicles and open the gates for plate numbers that are on the approved list. We would like to develop this solution using any of the following opensource softwares. You should know how to configure homeassistant, frigate NVR, doubletake deepstack, com...
