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Facial Recognition

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Our facial recognition systems in Singapore are effective and easy-to-use security solutions that enable identifying threats in real-time. The system will help you discover persons of interest whilst safeguarding the identity of onlookers through ethical machine learning. Powered by neural networks, our highly accurate facial recognition platforms support businesses of all scales with comprehensive security surveillance.

Transform your video surveillance with our facial recognition systems. Get in touch with us.

Real-time facial recognition using your existing cameras

Persons of Interest Monitoring
Get alerted when they enter your premises
Video Analytics
Respond to threats while protecting bystander privacy
Access Control
Allow access to the right people, right place, right time

Technology that fits your safety and security needs.

On Watch

Real-Time Watchlist Alerting

Identify persons of interest in real-time with live facial recognition enabling your security team to rapidly respond to threats, while protecting the privacy of bystanders.

On Access

Touchless Access Control

A frictionless access control solution that leverages the power of facial recognition to open guarded points of entry for authorized people and protect sensitive areas (e.g., server rooms).

Why Choose Oosto?

We transform your passive cameras into proactive security surveillance systems for real-time recognition of security threats, authorized personnel, and bad actors. Through ethical machine learning and state-of-the-art privacy controls, Oosto helps identify persons of interest, while protecting the identity of bystanders.

Customers of all sizes choose Oosto for our accurate, highly scalable, fast recognition, easy to use, affordable platform, powered by our facial recognition neural networks.

Superior Accuracy

Exceptional performance in real-world conditions such as crowds, poor lighting, face coverings, and acute angles.

Lowest Cost of Ownership

Works with your existing camera infrastructure and leverages edge and near-edge options, to dramatically lower total cost of ownership.

Edge Options

Deploy Oosto’s Vision AI neural networks inside smart-cameras, near-edge devices and access control systems to automatically identify authorized personnel and bad actors without sacrificing detection quality.

facial recognition

Putting Vision AI to Work

In today’s world, organizations face evolving threats to safety and security, and an increasing responsibility to protect employees, customers, and communities. Learn how Oosto protects the people that propel your business.

Frequently Asked Questions

How Does the Facial Recognition System Work?

Facial recognition is a category of biometric security in which a person’s identity is confirmed using their facial traits. This technology can be used for various purposes, from signing into a phone to searching for an individual in a database. When a facial recognition system is presented with an image or video of a person’s face, it maps their facial features to establish a facial signature. It uses computer-generated filters to convert face images into numerical expressions, which are then analysed for similarities. The system then compares this facial signature with its database to find if there is a match. Facial recognition systems can be used to recognise individuals in images, videos or in real-time.

What Technology is Used in Face Recognition?

The field of facial recognition and identification started to truly advance when developers began to adopt deep learning instead of striving to design the perfect matching algorithm. Deep learning is the application of a mathematical model that replicates the neural network of the human brain to produce insights from current data. Modern facial recognition technology is based on a specific neural network known as a convolutional neural network. These networks process each image through multiple phases to match the face templates. Every facial pattern is converted to a numerical code, with each template defined as a numerical vector. The more similar the two vectors are, the more likely they are to match.

How Can We Use Facial Recognition Systems in Singapore?

From the phone in your pocket to the security cameras you pass while shopping, facial recognition technology is used everywhere. The following are some instances where facial recognition systems in Singapore are at work, making life easier. 

  • Protect personal or sensitive data in smartphones.
  • Use biometrics Internet banking to authorise transactions.
  • Keep track of student or employee attendance.  
  • Enhance the customer experience at businesses.
  • Track a patient’s medical history or detect genetic diseases.
  • Find missing people and human trafficking victims.
  • Identify and track known criminals.

What are the Pros and Cons of Facial Recognition?

As an innovative technology with the potential to transform the world, facial recognition delivers numerous benefits to society. The technology is well-known for its high processing speed, precision, and reliability. Therefore, it is ideal for situations that require a high level of security. It also reduces the risk of identity theft and fraud, which is critical in sectors such as banking and finance. Some products and services utilise this technology to personalise their offerings to customers. Face recognition simplifies certain tasks by eliminating the need to memorise passwords or carry ID cards. However, there are several risks associated with utilising this technology. They are as follows. 

  • Privacy can be compromised as it involves collecting and storing biometric data.
  • Facial spoofing and impersonation can occur since the technology can be manipulated.
  • Difficult to use due to changes in lighting, angles, expressions, and so on.

How Does Facial Recognition Work with Cameras?

When it comes to image input for facial recognition, cameras play a critical role since they are often the device that captures the relevant image. This includes everything from phone and portable cameras to IP and 360 cameras. Their captures aid in the initialisation of the facial recognition process.

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