Face recognition development services

AI Consulting

Our expertise in facial recognition software development

OpenCV.ai provides face recognition development services to help businesses embrace modern computer vision technologies and optimize efficiency and revenue. Explore comprehensive face recognition services and see how they can work to your advantage.

01

Face detection

Embrace face recognition as a service to accurately locate and identify human faces in images and videos, regardless of crowd size or background complexity. By integrating face detection capabilities, you enhance surveillance systems, improve automated photo tagging, and streamline user experience.

02

Face identification

Facial recognition service allows you to automatically match detected faces against a database to determine identities. Make use of this powerful tool to quickly identify authorized personnel, track attendance, prevent unauthorized access in security, or customize the customer experience in retail.

03

Face authentication

Enhance your security protocols with facial recognition as a service, which verifies identities by comparing live face scans to stored templates. This technology provides an extra layer of security for your sensitive data. It also simplifies user authentication for your online services, reducing the reliance on passwords and enhancing user convenience.

04

Multi-face detection

Multi-face detection technology can identify multiple faces in a single frame, making it ideal for events, group photos, and crowded environments. Integrate the tool to enhance security surveillance, simplify event management, or improve your social media applications by accurately identifying individuals in group settings. In addition, faces in photos and videos can be irreversibly blurred — useful for complying with GDPR and the other personal data security regulations.

05

Age & gender analysis

Within face recognition app development services, you receive algorithms that estimate the age and gender of individuals from facial features. Understand your target audience demographics, adjust your advertising accordingly, and drive sales by delivering more relevant content to your audience.

06

Emotion detection

Develop facial recognition software with OpenCV.ai and understand your customers like never before with our emotion detection service. By analyzing facial expressions to gauge emotions, you can improve customer service, assess campaign impact in marketing, and monitor employee satisfaction and engagement in human resources.

Get in touch

Ready to reap benefits from facial recognition services?

Ignite your growth with custom face recognition software solutions that optimize your
business performance, engagement, and security.

Talk to us

Book

opencv.ai in numbers

You are in good hands

We are driven by a singular mission: to empower organizations to realize the full potential of their data. How do we do that? The OpenCV.ai team leverages its expertise in tackling diverse challenges: we combine leading tools and expertise to support your initiatives, plus create an efficient ecosystem for your business.

Our Process

How to develop face recognition software in six steps?

OpenCV.ai is a custom face recognition development company that has years of experience in developing unique and pioneering custom software through a streamlined, repeatable process.

01

Discovery

Learn about your business, your customers, and your business goals
Identify the business problem to be solved

02

Project strategy

Identify the functionalities your custom face recognition solution needs to meet your business goals
Consider budget, timeline, and resources to ensure the feasibility of the project

03

Data preparation

Create a database of images extracted from multiple sources
Ensure data is structured, relevant, and of high quality

04

Development

Develop face recognition software based on your needs and requirements
Employ various tools to craft a clean, organized, and high-performance application

05 – 06

Testing & deployment

Perform extensive testing to catch issues and bugs early
Use multiple techniques for seamless integration

Our case studies

Success stories.

Hundreds completed projects and counting.

We’ve been helping our clients find the optimal AI solution for more than 7 years.
The history of our thriving collaborations has many strong cases to show - check them below.

Portfolio

Book

Management

Meet your partner in custom face recognition development services

OpenCV.ai is a team of experienced professionals who excel at delivering quality face recognition software development services. The dedicated research and development team at OpenCV.ai works non-stop to create intelligent solutions that serve a range of industries.

CEO

ANNA
KOGAN

CTO

Tatiana
Khanova

Chief Scientist and President

Dr. Gary
Bradski

our approach

Why work with OpenCV.ai for facial recognition integration?

Vetted in innumerable facial recognition problems and solutions, our team can address any your computer vision challenge and help you even gain an edge on it. Collaborating with the OpenCV.ai team, you receive:

Pioneering technology

At OpenCV.ai, we use future-proof technology that stays ahead of industry trends. Proven algorithms ensure accurate and reliable development of facial recognition models that adapt to different environments and lighting conditions.

Unparalleled expertise

Our team is staffed by experienced professionals: from developers and engineers to customer support, our collective expertise ensures that you get the best advice, implementation, and post-launch support.

Commitment to privacy

We take special care to ensure that privacy remains protected. This means that we follow the highest standards of data protection and ensure that personal information is handled with the utmost care and confidentiality.

Client-centric approach

Your success is our priority. That is why we offer comprehensive support throughout your journey with us to deliver the maximum value for your business and align perfectly with your specific requirements.

Tech stack we use

Technologies we leverage.

Leverage your data to start the AI and IoT development of your product that will harness the power of the latest and best-proven technologies.

Tools

Pytorch

TensorFlow

OpenCV

CUDA/cuDNN

Core ML

TensorRT

CVAT

JAX

ONNX

OpenVINO

Deepstream SDK

TFLite

Hardware

ARM

RISC V

Jetson

NVIDIA GPU

Raspberry Pi

Intel / AMD CPU

Intel Myriad X

Questions?
Answers.

Are you limited to the OpenCV library?

Despite being linked to the popular OpenCV library, our team at doesn't limit our work to just this library. We provide face recognition software development services to assist our clients in driving their business performance through visual intelligence.

What is the future development of facial recognition?

The future of facial recognition technology looks promising, with advancements focused on increased accuracy, faster processing times, and enhanced security measures. Today, we see emerging trends such as integration with AI for predictive analytics, real-time recognition, and improved privacy protocols to address ethical concerns.

How to integrate face recognition?

Integrating facial recognition into your system involves several steps:

Choose a reliable custom face recognition software development company
Share your business challenges and goals and planning the project
Experts prepare training data and train the face recognition model on it
The solution is developed and integrated into your processes
The solution's performance is monitored for any updates and adjustments.

Which domain of AI is used in face recognition?

Facial recognition mostly utilizes computer vision, an AI domain focused on enabling machines to interpret and make decisions based on visual data. It combines image processing, pattern recognition, and deep learning techniques to accurately identify and verify faces.

How much does facial recognition cost?

Pricing for custom facial recognition development services can vary widely depending on functionality requirements, technology stack requirements, and expected completion timeline.
A basic facial recognition application with limited functionality can cost around $10,000 to $20,000, while an application with some advanced functionality can cost between $50,000 to $100,000.Contact our managers to get a quick estimate of your customized facial recognition solution.

What is the value of facial recognition?

Facial recognition technology offers significant value across multiple industries. Organizations that implement the technology enjoy improvements in the following areas:

Security – it provides accurate identification and verification methods
Convenience – it streamlines user authentication processes, reducing the need for passwords
Customer experience – it personalizes interactions in retail, hospitality, and customer service
Operational efficiency – it automates attendance tracking, access control, and identity verification, saving time and resources.

How do you ensure accuracy and security in custom facial recognition solutions?

At OpenCV.ai, we prioritize both accuracy and security in our customized face recognition service. We achieve this by using advanced, highly accurate algorithms, conducting extensive testing, and implementing strict privacy measures.

Insights and updates.

November 3, 2024

AI in Architecture

Artificial Intelligence and computer vision are revolutionizing the architecture industry. From generative design to heritage restoration, let's explore how AI and CV are reshaping architecture

November 14, 2024

AI in driverless cars

It's likely that after a couple of decades, humans will be banned from driving cars altogether: because AI in smart cars will handle it better.

October 17, 2024

Ethics in artificial intelligence and computer vision

Smart machines are making decisions in people's life death and taxes, — and let's be honest, they don't always do it well or transparently

October 4, 2024

Artificial intelligence and computer vision in education

How smart machines make learning easier and cheating harder

September 27, 2024

Robotics and agriculture

Let's explore how AI for agriculture improving the lives of animals, plants, and humans alike

September 11, 2024

Computer vision and artificial intelligence in smart cities

Let's talk about how cities are getting smarter, greener, safer, more dynamic — right now