Computer Vision & Perception Engineering

From Stochastic Models to Deterministic Assurance

Autonomous vehicle AI systems reclassify objects mid-trajectory, resetting predictions each cycle. Without formal verification, probabilistic models create fatal blind spots in safety-critical decisions.

The Forensic Imperative: Deterministic Computer Vision for Insurance Claims

Generative AI deletes vehicle damage in claims photos, creating $7.2B litigation risk. Forensic Computer Vision uses Semantic Segmentation and Depth Estimation preserving evidence integrity.

The Shadow is Not the Water: Beyond Single-Frame Inference in Enterprise Flood Intelligence

Veriprajna's spatio-temporal AI solves false positive flood detection by distinguishing cloud shadows from actual floods using Optical-SAR fusion and 3D CNNs.

The Geometric Imperative: Physics-Based AI for Fashion E-Commerce

Fashion's $890B returns crisis stems from fit issues. Veriprajna uses Physics-Based 3D reconstruction and FEA for accurate virtual try-on solutions.

Cognitive Integrity in the Age of Synthetic Deception

275 million fake reviews blocked and AI-generated ghost hotels with photorealistic interiors that don't exist — commercial LLMs show 90%+ vulnerability to prompt injection that marks fakes as authentic.

Beyond the Visible: The Imperative for Hyperspectral Deep Learning in Enterprise Agriculture

Veriprajna's Hyperspectral Deep Learning detects crop stress 7-14 days before visible symptoms using 3D-CNNs analyzing 200+ spectral bands for pre-symptomatic agricultural intervention.

The Architecture of Trust in Synthetic Deception

Arup lost $25.6 million to interactive deepfakes impersonating executives on a live video call — no malware, no breach — exposing the collapse of visual trust in enterprise communications.