- What We Do
-
-
-
Speciality
-
-
-
- Off-the-shelf Data
-
- Solutions
- Platform
- Company
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 travelers‘ 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 & 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.
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.
Biometric data refers to unique physical or behavioral characteristics like facial features, voice patterns, fingerprints, and iris scans. AI uses this data for secure authentication, fraud prevention, and personalized user experiences.
Biometric data provides accurate identification and secure access. It enhances security, prevents fraud, supports remote health monitoring, and enables personalized shopping experiences.
Biometric data is collected through facial recognition, voice recordings, fingerprint scans, and high-resolution iris images. These methods ensure diverse and accurate datasets.
Annotation labels biometric data with details like facial landmarks, voice tones, fingerprint minutiae, and iris boundaries. This improves AI accuracy for authentication, fraud detection, and secure access control.
Challenges include ensuring privacy, handling diverse datasets for inclusivity, maintaining data quality, and complying with regulations like GDPR and HIPAA.
Voice recognition analyzes unique voice patterns, tones, and intonations using AI. Annotated voice datasets train systems to distinguish between authorized users and potential fraud.
Ethical concerns include privacy, consent, and potential misuse of data. Addressing these requires strict compliance with privacy regulations and anonymization practices.
Yes, when trained on diverse datasets that account for variations in age, ethnicity, gender, and cultural differences, biometric systems can perform effectively across demographics.
Industries like security, finance, healthcare, retail, and transportation benefit by improving access control, fraud detection, patient monitoring, and personalized customer experiences.
Unlike passwords or PINs, biometric systems rely on unique personal traits that are difficult to replicate, making them more secure and reliable.
Timelines depend on project complexity and scale but are designed to deliver quality datasets efficiently and within agreed deadlines.
Shaip uses multi-phase quality checks, expert annotators, and ISO-certified processes to ensure the highest data accuracy and reliability.
Costs vary based on project requirements, data complexity, and scale. Contact Shaip for a customized quote tailored to your specific needs.