PanocularAI develops lightweight AI vision solutions optimized for autonomous systems operating on limited computing power. The platform enables 360-degree perception and simultaneous execution of multiple AI tasks like object detection and segmentation with minimal overhead. This technology is specifically designed for energy-constrained applications such as autonomous drones, robots, and vehicles.
Funding
Funding not disclosed
Founders
Product
Problem
Autonomous platforms such as drones, robots, and vehicles often operate with strict energy budgets and limited on‑board compute, making it difficult to run high‑resolution, 360° vision and multiple AI perception tasks simultaneously. Conventional solutions rely on bulky processors or additional sensors, increasing weight, power draw, and system complexity.
Solution
PanocularAI delivers a ready‑to‑use AI vision stack that runs on lightweight processors without requiring extra hardware. The platform fuses inputs from a multi‑camera array to provide full 360‑degree environmental awareness while executing concurrent AI workloads—such as object detection and semantic segmentation—in real time. Its models are optimized for low memory and power consumption, enabling deployment on energy‑constrained edge devices. Integration is handled through a plug‑and‑play SDK that abstracts hardware specifics, allowing developers to add advanced perception capabilities without redesigning their compute architecture. The solution therefore reduces system weight, power usage, and development effort while maintaining high‑fidelity situational awareness.
Features
- Edge‑optimized neural networks with sub‑100 ms inference on ARM‑based CPUs
- Multi‑camera stitching pipeline delivering seamless 360° perception from standard camera rigs
- Simultaneous multi‑task inference (e.g., object detection + segmentation) with shared feature extraction to minimize compute overhead
- Power‑aware scheduling that throttles workloads based on available energy budget
- Hardware‑agnostic SDK supporting common sensor interfaces (MIPI CSI, USB) and ROS integration
- Real‑time output streams (RGB, depth, detection masks) delivered via lightweight IPC or MQTT
- Minimal memory footprint (<200 MB) and binary size for easy deployment on constrained flash storage
- Built‑in model quantization and pruning tools for custom optimization on target devices