Floyd provides the ROVI Vision Edge Device, a compact, rugged camera system that performs real-time image capture and AI‑driven analysis on‑device. By integrating on‑board processing hardware with pre‑installed computer‑vision models and an open SDK, ROVI delivers low‑latency inference, reduces bandwidth usage, and keeps data local for manufacturers, retailers, and autonomous‑system developers needing edge visual intelligence.
Funding
Funding not disclosed
Founders
Product
Problem
Many industries lack compact, high-performance imaging solutions that can operate at the edge, leading to reliance on bulky equipment or cloud processing that introduces latency and privacy concerns.
Solution
Floyd offers the ROVI Vision Edge Device, a small-form-factor camera system designed to perform real-time image capture and analysis directly at the source. The device integrates on-board processing hardware with optimized computer-vision algorithms, enabling low-latency inference without needing to transmit raw data to external servers. Its modular design supports a range of sensor configurations and can be deployed in environments such as manufacturing lines, retail spaces, and autonomous systems. By delivering edge AI capabilities, ROVI reduces bandwidth usage, enhances data security, and simplifies integration with existing infrastructure.
Target Audience
Primary customers are manufacturers, retail operators, and developers of autonomous systems who require on‑premise visual intelligence for quality control, inventory monitoring, or navigation.
Features
- Compact, rugged hardware optimized for on-device AI inference
- Supports multiple camera sensors and interchangeable lenses
- Pre‑installed computer‑vision models for object detection, classification, and anomaly detection
- Real-time processing with sub‑second latency and local data storage options
- Open SDK and API for custom model deployment and integration with edge orchestration platforms
- Power-efficient design suitable for battery or PoE operation