Building ultra-low latency visual perception models, edge neural accelerators, and industrial spatial intelligence solutions.
Standard off-the-shelf vision models fail in high-throughput industrial environments due to high latency and poor generalization. Zevionix engineers custom, hardware-quantized neural networks trained on domain-specific datasets and synthetic augmentation pipelines.
Our specialized engineering teams build tailored visual intelligence pipelines for high-precision environments.
Sub-millimeter anomaly detection in manufacturing lines, wafer inspections, and high-speed conveyor sorting with 99.98% recall rate.
3D point cloud processing, SLAM (Simultaneous Localization and Mapping), depth estimation, and obstacle avoidance for autonomous vehicles and AMR robots.
High-density crowd tracking, vehicle trajectory analytics, behavioral pattern recognition, and perimeter security telemetry with privacy-safe redaction.
Measured benchmarks across enterprise GPU clusters and edge hardware platforms.
| Architecture Model | Hardware Target | Precision Mode | Batch Size | Inference Latency | Accuracy (mAP@50) |
|---|---|---|---|---|---|
| Zevionix Vision-X (Custom ViT) | NVIDIA A100 (80GB) | FP16 / TensorRT | 32 | 1.8 ms | 94.2% |
| Zevionix EdgeTrack (YOLOv10 Opt) | NVIDIA Jetson AGX Orin | INT8 Quantized | 1 | 4.2 ms | 91.8% |
| Zevionix Segment3D (SAM Lite) | NVIDIA L40S | FP16 Engine | 8 | 6.1 ms | 96.5% |
