🔍
Manufacturing Defect Detection
Automated visual quality control on assembly lines. Identifies surface scratches, cracks, misalignments, and missing components in real time.
Core AI Service
Computer Vision &
Edge Visual Intelligence
Automate physical inspection and quality assurance with sub-second computer vision. We build, train, and deploy custom YOLO models for manufacturing defect detection, rooftop damage quantification, and video stream monitoring.
99.1%
Model Detection Accuracy
60 FPS
Real-Time Edge Inference Speed
< 50ms
Frame Processing Latency
Custom Visual Intelligence Solutions
Trained on your real-world imagery and deployed on edge hardware or high-throughput cloud clusters.
🚁
Aerial & Drone Asset Inspection
Geospatial image parsing for rooftop solar installations, commercial HVAC units, wind turbines, and utility poles with bounding-box damage reports.
📦
Visual Inventory & Stock Counting
Camera-based automated SKU counting and barcode verification across warehouse pallets, retail shelves, and freight distribution docks.
⚡
Edge TensorRT Optimization
Quantize PyTorch and YOLOv8 models into FP16/INT8 TensorRT engines running on NVIDIA Jetson, Raspberry Pi, and edge industrial gateways.
📹
Multi-Camera RTSP Stream Ingestion
High-concurrency video pipeline architectures that process dozens of security camera feeds simultaneously with automated alert triggers.
📑
Automated Photo Work Order Reports
Field technicians snap a photo of damaged machinery on mobile; the vision model auto-diagnoses the unit, extracts serial numbers, and drafts the estimate.
Featured Case Study
See It in Action: InspectVision Pro
How an industrial facility deployed our edge YOLOv8 computer vision system across 12 inspection checkpoints, saving $380,000 annually in defect claims.
View InspectVision Case Study →
Live Enterprise AI Product
AltosFloor AI — Live Sub-Pixel Floor Try-On
100% automated zero-shot metric scale and floor product replacement. Experience ViTMatte edge snapping, homography perspective alignment, and photometric lighting preservation live in your browser.
Ready to deploy Computer Vision?
Send us sample inspection images or describe your camera setup. We will assess dataset feasibility and build an initial benchmark model in 7 days.