Stera by FPV Labs vs BehaviorCam

Turn your iphone into a robotics data lab FPV Labs turns your iPhone into a spatial capture device for robotics research. Record everyday physical tasks - cooking, cleaning, crafting, repairs and help teach robots how to see, move, and act in the real world. What it captures - - 6-DoF camera poses - LiDAR depth and 3D mesh - Synchronised RGB, depth, and IMU streams Everything is fused, calibrated, and validated on-device before it leaves your phone. Why it matters - Robots learn from human demonstrations. The more kitchens, workshops, and living rooms in the data, the better the models that come out. Your way of making a sandwich, changing a battery, or folding laundry is training data the world’s robotics labs don’t have. For contributors 1. Mount your iPhone on head strap or chest rig. 2. Open the FPV Labs app and hit record. 3. Sessions auto-validate and upload to your dashboard. 4. Contribute to a growing dataset of robotics data For Researchers - Browse, preview, and validate every capture in the dashboard. Export to MCAP files. Built for VLA pretraining, policy, fine-tuning, and sim-to-real research. Privacy - Recordings stay on-device until you upload securely to cloud. — Questions, partnerships, or organization access: contact@fpvlabs.ai [:mav: 4.2.6]

BehaviorCam Advanced multimodal behavioral analysis from video and audio. BehaviorCam provides scientifically grounded, AI-driven analysis of human behavioral patterns and subconscious body cues using an advanced, multi-stage data processing pipeline. The system examines multimodal data points simultaneously, including: * Micro-expressions and facial dynamics * Posture, movement, and body orientation * Eye behavior and gaze patterns * Advanced voice and speech analysis * Breathing patterns and cadence * Language structure and conversational cues These are not isolated observations. BehaviorCam breaks video into extremely fine-grained segments and evaluates every frame and audio sample as part of a unified analytical process. Audio is processed through multiple specialized AI models designed to evaluate pitch variation, stress indicators, speech tempo, articulation, breathing behavior, and contextual language usage. Speech is transcribed and analyzed using advanced language engines, with optional AI-generated notes available alongside the text transcript. BehaviorCam can identify multiple participants within a recording and generate separate analyses per individual. Conversations may be reviewed as a whole or broken down question-by-question, allowing each exchange to be examined independently or within broader context. All signals are aligned along a precise timeline and fused into a comprehensive analytical output. Results are presented using statistical representations, percentages, and probability-based interpretations, informed by historical data patterns across comparable interactions and behaviors. Create baseline profiles for deeper cognition and greater accuracy. BehaviorCam is designed as a professional-grade analysis tool that helps users examine complex recordings with greater depth, structure, and consistency than manual review alone. * Multimodal video and audio analysis * High-resolution behavioral signal detection * Advanced speech, voice, and breathing analysis * Timeline-based segmentation and review * Individual or group conversation analysis * Question-by-question conversational breakdown * Probability-based analytical outputs * Optional AI-assisted transcription notes BehaviorCam provides analytical insights derived from advanced AI models. It does not replace human judgment and should be used as a decision-support and review tool.