Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
CompreFace is an open-source facial recognition tool that is freely available and can be seamlessly incorporated into any system, requiring no prior expertise in machine learning. It is provided as a docker-compose configuration and accommodates various models that function on both CPU and GPU. Utilizing advanced techniques and frameworks such as FaceNet and InsightFace, this solution streamlines the detection of unauthorized access to sensitive locations and enhances office security. Moreover, it serves dual purposes by facilitating data collection for marketing strategies and enabling real-time ad targeting. Additionally, it aids in monitoring employees and students to ensure they are present in designated areas. CompreFace can identify customers as they enter, which allows businesses to enhance their customer service experience significantly. This technology also expedites the check-in process at hotels, conferences, and airports. Designed to be efficient, adaptable, and user-friendly, CompreFace stands out in the realm of facial recognition services, making it a valuable asset for various applications. Furthermore, its simplicity allows organizations of all sizes to leverage this technology effectively.
Description
Register today to begin utilizing Lambda’s facial recognition and detection API. Through our online platform, simply enter a URL, and we will determine if it features any celebrities. Additionally, you can experiment with our face detection API using the provided form; upload a picture, and we will identify whether it contains faces, pinpoint their locations, and highlight facial features such as the eyes, nose, and mouth. To access the API, you'll need to use your Mashape Key, which requires signing up for our service. An album consists of a collection of labeled images that are instrumental in recognizing new, unseen images. Let’s initiate the creation of your first album by supplying it with several labeled images for improved accuracy. The more images you provide, whether they are URLs or files, the better the model’s performance will be. Once you’ve uploaded the images, instruct the album to generate a model based on them. Finally, submit an image for recognition, and you will have the choice between using URLs or files for this process. This capability will enhance the versatility of your image recognition efforts.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Adobe Analytics
Yes
Amazon Web Services (AWS)
Yes
Azure Marketplace
Yes
Microsoft 365
Yes
Integrations
Adobe Analytics
No
Amazon Web Services (AWS)
No
Azure Marketplace
No
Microsoft 365
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$9 per month
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Exadel
Country
United States
Website
exadel.com/solutions/compreface/
Vendor Details
Company Name
Lambda
Founded
2012
Country
United States
Website
lambdalabs.com/face-recognition-api