Advanced Tattoo Recognition Solutions
The fastest, most accurate tattoo recognition algorithm
Detect and Match Tattoos Faster With ROC SDK
Imagine being able to identify suspects or victims through their tattoos with ease, even when other biometrics or forms of identification are unavailable. That’s the power of advanced tattoo recognition solutions. With our software development kit (SDK), you can easily integrate our tattoo recognition software into your applications, providing powerful tools for law enforcement agencies and other industries.
Unbeatable Accuracy in a Lightweight Software Development Kit
Our tattoo recognition SDK is designed to provide accurate and fast results for law enforcement, intelligence, and other industries. With our SDK, you can easily integrate our tattoo recognition software into your applications, providing powerful tools for your users. Our technology uses a compact feature vector representation to represent tattoo images, ensuring accuracy and efficiency. We can accurately detect and localize tattoos, even providing information about the location of tattoos on the body.
- Exceptionally accurate biometric recognition results
- Ultra fast and lightweight processing capabilities
- Achieves true acceptance rate of 95.1% at a false accept rate of 0.0100%
Proven Tattoo Recognition & Identification SDK
At ROC.ai, we aim to deliver the highest level of accuracy and performance to our customers. Our tattoo recognition software is deployed worldwide in various law enforcement agencies, powering investigations and helping families to identify their deceased loved ones using our automated tattoo matching technology. The latest version of ROC.ai’s tattoo algorithm enables accurate detection, localization, and representation of tattoo images in a compact feature vector format.
The ROC.ai tattoo algorithm achieves robust performance when evaluating 1:1 comparison accuracy, allowing easy generalization to the true 1:N use-case.
| False Accept Rate: | True Accept Rate: |
| 1.0000% | 99.2% |
| 0.1000% | 97.6% |
| 0.0100% | 95.1% |
| 0.0010% | 90.8% |
| 0.0001% | 83.9% |
Our tattoo algorithm SDK is not only highly accurate, but also incredibly fast. In fact, it is over 100 times faster than the previously most accurate solution on the market. Our algorithm provides lightning-fast recognition results, allowing for efficient and effective identification of suspects or victims through their tattoos. With unprecedented speed and accuracy, ROC.ai is proud to offer industry-leading tattoo recognition software to law enforcement agencies and other industries.
| Tattoo Efficiency Metrics: | |
| Template Generation Speed: | 378 milliseconds |
| Template Size: | 37 bytes |
| Comparison Speed: | 18.23 nanoseconds |
Core Functionalities & Features
Fast and accurate biometric matching results help investigators and health officials quickly identify individuals with tattoos
Seamless software integration with any and all of ROC.ai’s multimodal biometric and computer vision capabilities
Compact feature vector representation for accurate and efficient biometric processing
Accurate detection and localization of tattoos for precise information about tattoo location
Capable of identifying victims or suspects who have proven difficult to identify through other means
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FAQ
What is a Tattoo Recognition SDK?
Tattoo Recognition SDK is a software development kit that enables integration of advanced tattoo recognition software into applications, providing powerful tools for law enforcement, intelligence, and other industries.
How does tattoo detection and recognition technology work?
Tattoo detection and recognition technology works by using image processing algorithms that analyze the features of a tattoo, such as its color, size, and shape. The technology then matches these features with a database of known tattoos to identify the tattoo's meaning, origin, or potential associations.
What can tattoos recognition & identification software be used for?
Tattoo detection and recognition technology has a wide range of applications, including forensic investigations, identifying criminal organizations or affiliations, identifying victims of trafficking, and assisting in medical procedures.
How can a Tattoo Recognition SDK be used by law enforcement agencies?
Law enforcement agencies can use the SDK to accurately detect, localize, and represent tattoos for identifying suspects, victims, or witnesses through their tattoos when other forms of identification are unavailable. By analyzing tattoos present on a victim or suspect, law enforcement agencies can potentially identify important information such as gang affiliations, criminal activity, or human trafficking networks. However, it is important to ensure that tattoo data is collected and used in accordance with legal and ethical standards, such as obtaining a warrant before collecting tattoo data or limiting the use of tattoo data to specific investigations.
How does the ROC SDK tattoo recognition algorithm work?
The algorithm uses a compact feature vector representation to accurately detect, localize, and represent tattoo images, ensuring high accuracy and efficiency in identifying tattoos.
What is the true acceptance rate of the tattoo recognition algorithm?
The tattoo recognition algorithm achieves a true acceptance rate of 95.1% at a false accept rate of 0.0100%.
Can the tattoo recognition software identify tattoo locations on the body?
Yes, the software can accurately detect and localize tattoos, providing precise information about the tattoo's location on the body.
Is the tattoo recognition software compatible with other biometric and computer vision capabilities?
Yes, the software can be seamlessly integrated with any and all of ROC.ai's multimodal biometric and computer vision capabilities.
How does the tattoo recognition algorithm perform in a 1:1 comparison accuracy evaluation?
The algorithm achieves robust performance, allowing for easy generalization to the true 1:N use-case.
Can ROC tattoo recognition software help identify deceased victims?
Yes, the software is used by law enforcement agencies to identify deceased victims through their tattoos when little other information is available for identification.
Is the Tattoo Recognition SDK easy to integrate into existing applications?
Yes, the SDK is designed for easy integration into various applications, providing powerful tools for users.
What makes the Rank One Computing Tattoo Recognition SDK better than other solutions?
Our tattoo recognition SDK includes key features like fast and accurate biometric matching results, seamless software integration, compact feature vector representation, accurate detection and localization of tattoos, and identification capabilities for difficult cases.
How does the tattoo recognition algorithm compare to NIST Tatt-E results?
When measured at a False Accept Rate of 0.001%, the ROC.ai algorithm achieves a True Accept Rate of 90.8%, outperforming the industry-leading solution (72.1%) by a wide margin.