Overview
Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, age recognition, and gender recognition, and is easily deployed with docker.
Highlights
- The actual Facial Recognition Service is FREE with CompreFace. You only pay for the custom software and server fees.
- CompreFace can easily be integrated into IT systems by any software developer, even one without AI- or ML-specific skills
- CompreFace stores the absolute minimum data needed, and it is only stored on your server
Details
Typical total price
$0.096/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
---|---|---|---|
t2.nano | $0.00 | $0.006 | $0.006 |
t2.micro AWS Free Tier | $0.00 | $0.012 | $0.012 |
t2.small | $0.00 | $0.023 | $0.023 |
t2.medium | $0.00 | $0.046 | $0.046 |
t2.large | $0.00 | $0.093 | $0.093 |
t2.xlarge | $0.00 | $0.186 | $0.186 |
t2.2xlarge | $0.00 | $0.371 | $0.371 |
t3.nano | $0.00 | $0.005 | $0.005 |
t3.micro AWS Free Tier | $0.00 | $0.01 | $0.01 |
t3.small | $0.00 | $0.021 | $0.021 |
Additional AWS infrastructure costs
Type | Cost |
---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
This software is free, licensed under Apache 2.0 license
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Massive UX/UI redesign Wizard for creating the first facial recognition service Pose plugin Service statistics Automatic login after registration Updated session logic, no need to re-login if the user is active Property to set max image size in the .env file Property to set the number of processes of uwsgi in the .env file Property to set connection and read timeouts in the .env file Optimized RAM usage
Additional details
Usage instructions
- Launch an EC2 instance (instance type at least t2.medium) based on the provided AMI image.
- In the security group create the inbound rule for TCP, port 8000, in source indicate your IP address or your CIDR block.
- The CompreFace application is reachebly by instance public IP address and port 8000 in a couple of minutes after instance start. For example http://{public_ip_adress}:8000
Resources
Vendor resources
Support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.