Linker Networks Computing the Future of AI

What is Linker Networks?

Linker Networks offers advanced AI solutions designed to assist businesses in harnessing the power of machine learning across cloud and edge environments. The core offerings include a user-friendly Vision AI Platform and an efficient Auto-Labeling Platform. These platforms are built to simplify the integration of AI, enabling users, even those without dedicated data scientists, to deploy solutions quickly. Linker Networks focuses on turning data into actionable business value through its expertise in AI and IoT.

The technology facilitates improved business operations by utilizing video analysis and AI, providing comprehensive monitoring capabilities through a unified interface. The platforms feature off-the-shelf and customizable AI models, supporting real-time detection via live-streaming cameras and continuous learning through model retraining. The Auto-Labeling system streamlines the creation of high-quality training data, enhancing efficiency and reducing costs for developing and deploying AI models across various industries such as manufacturing, autonomous driving, and public health.

Features

Vision AI Platform: Web-based, user-friendly platform for AI visualization and management.
Auto-Labeling Platform: AI-based technology for efficient and reliable data annotation.
Auto-Machine Learning (Auto-ML): Build, deploy, and retrain AI models with minimal clicks.
Real-time Detection: Monitor activities using live-streaming cameras.
Customizable AI Models: Offers both off-the-shelf and customizable models.
Continuous Learning: Supports model retraining for ongoing improvement.
AI + IoT Integration: Combines AI and IoT capabilities to transform data into business value.

Use Cases

Enhancing workplace safety through AI monitoring (PPE detection, restricted area access, SOP compliance).
Improving manufacturing processes with AI automation.
Developing Autonomous Driving & ADAS systems.
Implementing AI solutions for public health initiatives.
Applying AI in medical contexts.
Streamlining large-scale data annotation with Auto-Labeling.
Deploying AI models quickly without extensive data science expertise.