Luxand

Open your app, point a camera, and let faces drive the workflow. With Luxand FaceSDK, teams build sign-in and entry flows that feel instant: enroll a person from one photo, capture a short live stream from a webcam, and match against a managed gallery to confirm who’s in front of the lens. Configure thresholds for strict security or smoother customer experiences. For on-site deployments, run everything on-prem to keep biometric data local. For distributed sites, synchronize galleries securely so a user enrolled at HQ can be recognized at any branch without extra steps.

For operations, set up a staffed or self-service kiosk to handle clock-ins and visitor passes. The camera recognizes returning people in real time, logs presence, and attaches device, location, and timestamp metadata for reports. Use multiple cameras to cover different entrances, merge feeds, and avoid duplicate logs. If your site has safety rules, enable protective gear checks to verify masks or other PPE are being worn before allowing access, and flag exceptions for supervisors. Create schedules and grace periods so late arrivals and early departures are captured consistently without manual oversight.

Content and media teams can automate visual processing at scale. Feed the SDK a folder or stream and have it detect people, locate landmarks on faces for effects, and group similar faces to build contact sheets. Recognize known personalities, identify notable places, categorize scenes and objects, and pull text with OCR to make assets searchable. Use explicit content screening to protect brand channels. For retail, pair product search with shelf or catalog images to surface item details. Creative pipelines can generate animated 3D face models from a single portrait to power avatars, filters, and interactive experiences.

Developers integrate quickly: read frames from a webcam or video file, pass them to the detector, extract templates, and store them in a gallery. Use the comparison API to score similarity, then apply your business rules (approve, ask for second factor, or deny). Tag faces over time—FaceSDK keeps a growing index of people seen in video and refines labels as confidence improves. Train custom classifiers on your own image sets when you need domain-specific categories. Tune performance by batching frames, leveraging GPU acceleration where available, and adjusting recognition thresholds to balance speed and accuracy. Instrument audits and retention windows so biometric data is handled responsibly, whether you deploy in a data center or at the edge.