IPX Copilot

IPX Copilot is a multimodal artificial intelligence tool using neural networks and large language models (LLMs) to understand visual content and generate precise, contextualized responses.

IPX Copilot works with IPX Analytics to learn, detect, and classify events captured by surveillance cameras. It applies neural AI for object detection and configures rules to trigger desired events, including:

• Confirmation of critical alerts: cross checking alerts issued by IPXAnalytics to reducing the chance of false alarms and making the system even more reliable.
• Refinement of visual classifications detects suspicious behaviour and image detail for additional elements such as PPE, objects, license plates, faces.
• Adapting to new demands: considering specific patterns or behaviours, even if they haven't been previously trained in Analytics, to bring adaptability to the system.

What IPX Copilot does

IPX Copilot automatically analyzes, validates, and interprets visual data received from camera systems and monitoring platforms to:

• Understand commands.
• Automate image-based decisions.
• Verify and correct alerts from other systems
• Reduce human intervention

The purpose of IPX Copilot is to:

• To provide a secondary layer of visual decision-making for IPX Monitor and IPX Analytics.
• Automate visual inspections.
• Describe vehicles by model, brand, and colour.
• Provide data such as age, gender, and expression using images of people's faces

IPX Copilot benefits users by:

• Reducing human error in visual operational processes.
• Automating decisions, increasing operational agility and consistency.
• Enhancing security by validating alerts.