Counterfeit Detection Powered by Enterprise-Grade Vision AI
Discover the incredible potential of Vision AI for counterfeit detection. Integrate into your existing manufacturing or authentication workflows, providing a dependable and automated solution for verifying the authenticity of products or documents.
Trusted by Leading Enterprises
Analyze Billions of Images and Videos
Swiftly and cost-effectively analyze billions of images and videos, flagging suspicious products, enabling the rapid identification and removal of counterfeit items in bulk.
Counterfeit Prevention in Pharmaceutical Manufacturing
Pyrsquare safeguards pharmaceutical production by detecting counterfeit products before they enter the supply chain.
Identify unauthorized materials in real-time to prevent contamination
Ensure compliance with regulatory standards and protect patient safety
Authenticity Assurance in Logistics
Secure your logistics operations by verifying package authenticity at every stage.
Monitor packaging integrity to prevent counterfeit goods distribution
Brand protection for consumer goods
Powered by Advanced Vision AI Models
Pyrsquare employs vision AI models like YOLO and PyTorch to accurately detect counterfeit items. From identifying counterfeit packaging to detecting unauthorized labels, Pyrsquare uses feature extraction and bounding box encoding to ensure every product meets your quality standards. Detect anomalies as they occur. Receive alerts for discrepancies, ensuring compliance and brand protection. Our multi-camera Vision AI scales effortlessly across your facilities, supported by DeepStream’s multi-object tracking (MOT) and NvInfer Plugin for TensorRT acceleration. Monitor multiple production lines and logistics points in real-time, enhancing operational efficiency and security.
Integrated with Top AI Frameworks and Technologies
PyTorch
We use PyTorch for its flexibility, extensive ecosystem, and speed, enabling us to build accurate, scalable AI models for advanced CCTV detection solutions.
YOLO
YOLO’s real-time object detection helps boost Pyrsquare's AI camera systems, offering lightning-fast, scalable solutions that ensure high accuracy even on minimal hardware.
DeepStream SDK
DeepStream, developed by Nvidia, is a powerful AI-based streaming analytics toolkit designed for video, image, and audio understanding.
Frequently Asked Questions
Find answers to the most common questions about our platform, product features, and how we can help you deploy multi-camera visual AI.
Pyrsquare uses advanced AI models like YOLO, trained in PyTorch, to analyze visual data from your existing camera systems. Through bounding box regression and feature extraction, it identifies discrepancies in product appearance, packaging, or labeling that indicate counterfeits. By comparing real-time images against authenticated templates, it detects anomalies and alerts you immediately.
Yes, Pyrsquare is designed for seamless integration with existing camera setups, including commodity and low-cost cameras. By leveraging DeepStream SDK and NvInfer Plugin for accelerated inference, Pyrsquare enhances your system’s capabilities without requiring expensive hardware upgrades.
Pyrsquare monitors packages throughout the logistics process, verifying authenticity at each checkpoint using AI. It detects tampering, counterfeit labels, or mismatched shipments in real-time, enabling you to take immediate action to prevent counterfeit goods from entering the supply chain.
Pyrsquare's versatile AI platform is ideal for industries where product authenticity is critical, such as pharmaceuticals, consumer goods, electronics, luxury items, and logistics.
Still have questions?
Click below to read our extensive FAQ page, or get in touch with our team.
News, Updates and Blogs
Stay updated with the latest developments in Vision AI, real-world applications, and industry innovations.
Ready to Deploy Eyeota AI?
Unlock smarter operations with AI-driven multi-camera technology. Transform your business today—contact us to learn how.
