PixoAnalytics offers a camera‑based computer vision platform that creates a digital fingerprint of each object using its natural surface patterns, enabling label‑free identification and tracking in milliseconds. The solution provides 99.9% accuracy, sub‑millimeter measurement precision, and integrates with existing ERP and WMS systems, reducing tracking costs by up to 50% and eliminating the environmental impact of physical labels.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers and logistics operators often rely on physical labels, barcodes, or manual measurements to identify and track items, which leads to labeling errors, lost parcels, inefficient inventory processes, and high operational costs. These methods also create environmental waste and lack real-time traceability across complex supply chains.
Solution
PixoAnalytics provides a camera‑based computer vision platform that creates a unique digital fingerprint for each object by analyzing its natural surface patterns. The system captures an image with a standard camera or smartphone, generates a millisecond‑fast identifier, and stores it in a cloud database for instant lookup. This enables label‑free tracking, automated measurement, and real‑time monitoring of items such as parcels, timber, chipboard, wood, explosives, and other manufactured goods. By eliminating physical markings, the technology reduces waste, cuts tracking costs by up to 50%, and delivers 99.9% identification accuracy with sub‑millimeter measurement precision.
Target Audience
Primary customers are manufacturers, logistics providers, and supply‑chain operators that require high‑speed, accurate tracking of goods without relying on physical labels, including sectors such as e‑commerce fulfillment, timber and wood processing, parcel delivery, and explosives safety.
Features
- High‑precision object identification with 99.9% accuracy and sub‑3 mm measurement deviation
- Millisecond‑level fingerprint generation for real‑time tracking and rapid re‑identification of lost or unlabeled items
- Label‑free operation using natural surface patterns, eliminating the need for QR codes, barcodes, or RFID tags
- Cloud‑hosted database and API for seamless integration with existing ERP, WMS, and supply‑chain systems
- Automated anomaly detection and quality‑assurance analytics for continuous process improvement
- Environmentally friendly solution that removes additional material usage and reduces carbon footprint
- Scalable across diverse materials (paper, wood, metal, chipboard, parcels) and industrial environments