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Build secure and scalable biometric ai systems with premium datasets for face, voice, iris, and fingerprint recognition
Biometric technologies are transforming the landscape of security, finance, healthcare, and customer experience. Shaip stands at the forefront of this revolution, offering comprehensive data collection and annotation services that enable AI systems to authenticate and understand users with unprecedented accuracy and efficiency. Our expert team ensures high-quality datasets and precise labeling, empowering organizations to develop accurate, secure, and efficient identification systems while prioritizing privacy and consent.
We provide comprehensive data collection services for various biometric modalities, including:
Our global network ensures high-quality data collection that meets your project’s needs while maintaining strict privacy and consent protocols.
Shaip’s expert annotators label biometric data with accuracy & scalability, ensuring your AI models are trained for optimal performance.
We ensure that your AI systems deliver accurate, secure, and user-friendly biometric solutions.
Example: A global airport partnered with Shaip for facial image datasets, improving passenger processing with automated recognition systems.
An international airport seeks to expedite passenger processing through automated facial recognition systems that compare traveler’s faces with their digital details stored in Government records. Shaip supplies tailored facial image datasets, including variations in facial expressions and accessories, to refine the system’s matching accuracy.
Example: Shaip provided voice datasets to a leading bank for voice-enabled ATM access, ensuring secure and seamless customer experiences.
A financial institution aims to introduce voice-authenticated ATM access. Shaip delivers annotated voice datasets to enable the AI to distinguish between authorized users and potential fraudsters, even in the challenging acoustic conditions of outdoor ATM locations.
Example: A health tech company partnered with Shaip to develop wearables for cardiac condition detection using labeled heart rate datasets.
A health tech company develops wearables that monitor heart rate variability to detect early signs of cardiac conditions. Shaip generates labeled datasets correlating heart rate data with health outcomes, thus enhancing the AI’s predictive capabilities for these devices.
Example: A retail chain improved customer engagement by leveraging Shaip’s annotated facial datasets for targeted advertising and VIP identification.
A retail chain intends to use facial recognition for identifying VIP customers and providing them with personalized service. Shaip provides annotated datasets of facial images linked to purchasing behavior, enabling the AI to offer tailored recommendations to repeat customers.
Example: An automotive company partnered with Shaip to develop driver fatigue detection systems using annotated behavioral datasets.
An automotive company incorporates an AI system that detects driver fatigue through facial expressions and eye movements. Shaip helps by supplying annotated data on driver behavior, assisting the AI to alert drivers proactively and prevent potential accidents.
Ensuring top-tier data authentication and security oversight
Streamlining processes to boost productivity of AI Systems
Implementing a multi-phase quality control protocol
Upholding high standards with ISO9001 endorsed methodologies
Ensuring compliance through proper consent and authorization mechanisms
Commitment to confidentiality with NDA enforcement
Anti-Spoofing Video Dataset
Project Overview: Shaip delivered a 25,000-video anti-spoofing dataset with real and replay attack scenarios, ensuring diversity, quality, and metadata compliance.
Problem: Maintaining balanced ethnic representation, ensuring dataset quality, and adhering to strict technical guidelines.
Solutions: Curated diverse, high-quality videos with metadata, balanced ethnic representation, and ensured compliance with technical standards.
Result: Enhanced AI fraud detection, improved model adaptability, and provided scalable, diverse training data for biometric systems.
The “Asian Face Occlusion Dataset” is tailored for the visual entertainment industry, comprising a vast collection of internet-collected images.
They include diverse examples of facial features, poses, and lighting conditions and are used to train and evaluate facial recognition systems.
Unlock the full potential of AI-driven biometric tech with Shaip’s to enhance security, efficiency, & user experience.