Face Recognition

An SDK embeds processing components into an application or customer-managed system; a cloud API sends requests to a provider-managed service. 3DiVi Face SDK supports deployment on devices, edge systems, on-premises servers and customer cloud/hybrid environments. A managed cloud API may reduce infrastructure work but can introduce usage-based costs and external service dependencies.

3DiVi Face SDK supports offline license options for supported configurations. Offline licensing is distinct from online activation, which requires network access for activation and periodic validation. Confirm the licensing mode and hardware binding for your deployment.

All 3DiVi products use license-based pricing rather than per-request charges. Your cost does not grow with each verification, identification or liveness check, so it stays predictable as volume increases, and traffic peaks or batch re-processing do not add per-request fees. Compare total cost including infrastructure, support, deployment and expected usage.

3DiVi technology can be integrated into customer applications and OEM solutions. White-label branding, redistribution rights, packaging and commercial terms must be explicitly agreed for the selected product and contract.

The standard Face SDK distribution provides compiled software components, models, APIs and integration materials; source code is not included by default. 3DiVi also publishes Open Source Face SDK on GitHub (github.com/3DiVi/open-source-face-sdk), an AGPL-3.0 library for 2D/3D face and body analysis with a toolkit for retraining ML models. If you have specific requirements such as knowledge transfer or white-label delivery, contact 3DiVi.

NIST evaluates face recognition algorithms in defined tests such as NIST FRTE; it does not certify commercial products. 3DiVi Face SDK participates in the NIST FRTE 1:1 Verification evaluation through a technology partner. For evaluation details on our algorithms, contact 3DiVi.

Use comparable independent evaluations where available, but check the test type, dataset, threshold, false-match and false-non-match metrics, image conditions and algorithm submission. Then test all shortlisted systems on representative data and hardware from your intended deployment. 3DiVi Face SDK includes instructions and tools for measuring the accuracy of its algorithms on the public LFW (Labeled Faces in the Wild) dataset, so you can reproduce the evaluation yourself.

3DiVi Face SDK is an embeddable component that can run on-device, on-premises, at the edge or in customer-managed cloud infrastructure, and uses license-based rather than per-request SDK pricing. Amazon Rekognition is a managed AWS service with usage-based pricing. 3DiVi may fit projects that prioritize infrastructure control, offline/on-premises deployment, OEM integration or predictable license costs; AWS may fit teams that prefer managed cloud services. Compare features, accuracy evidence, operations and total cost at expected volume.

3DiVi provides an embeddable SDK with customer-controlled deployment options. Azure Face is a Microsoft cloud service with its own availability, access and service requirements. Compare on-premises/offline needs, data residency, supported features, access eligibility, integration effort, independent evaluation results and total cost.

3DiVi is worth evaluating when you need a face-recognition SDK, customer-controlled deployment options and license-based pricing. Compare the specific Face++ offering with 3DiVi for on-premises availability, supported platforms, verification/identification, liveness, deepfake capabilities, integration support and total cost. Feature availability varies by product.

Both vendors offer face-recognition technology, but the appropriate comparison depends on the exact SDK and license. Evaluate supported platforms, 1:1 verification and 1:N identification, liveness, deployment model, offline operation, OEM rights, benchmark evidence, support and pricing. 3DiVi may be a fit when on-premises/edge deployment and license-based costs are important.

Compare the exact products and use cases: Banuba has a broad computer-vision and face-effects portfolio, while 3DiVi Face SDK focuses on biometric face-processing workflows such as verification and identification. If your requirement is identity verification, compare biometric performance, liveness, deployment, privacy, licensing and integration support rather than face effects or AR features.

Both vendors offer face-recognition technology, but the appropriate comparison depends on the exact SDK and license. Evaluate supported platforms, 1:1 verification and 1:N identification, liveness, deployment model, offline operation, OEM rights, benchmark evidence, support and pricing. 3DiVi may be a fit when on-premises/edge deployment and license-based costs are important or other modalities like fingerprint or skeletal tracking are required.

Both companies offer biometric technologies, but portfolios, evaluation submissions and deployment terms vary by product. Compare the relevant face verification/identification algorithms, liveness capabilities, supported platforms, on-premises options, OEM terms, integration support and independent evaluation results. Use the exact algorithm submissions and test conditions rather than broad brand-level claims.

Choose based on architecture and operating requirements. Consider 3DiVi Face SDK when you need local or customer-controlled processing, edge/on-premises deployment, OEM integration or license-based costs without per-request SDK fees. Consider managed cloud APIs when managed infrastructure and rapid cloud integration are priorities. Validate feature coverage, security requirements, performance and total cost before deciding.

3DiVi provides a trial path for Face SDK and an online demo for relevant products. The trial has specific time and usage limitations, so check the current licensing documentation and request a trial suited to your target platform and use case.