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Invisible AI

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About

Invisible AI offers a sophisticated vision execution system designed to digitize and optimize manufacturing environments. By deploying advanced computer vision directly on the factory floor, the platform allows companies to monitor human motion and object interactions in real time. The primary objective of the system is to provide comprehensive visibility into every workstation, enabling manufacturing teams to improve safety protocols, enhance product quality, and increase overall production speed without the need for manual auditing. The technical foundation of the solution lies in its proprietary edge devices, which feature integrated NVIDIA-powered AI chipsets and synchronized 3D depth-sensing cameras. Unlike standard cloud-dependent vision systems, Invisible AI processes all video data locally on the device. Each unit includes up to 2TB of storage, capable of holding three months of footage, ensuring that data never has to leave the facility's firewall. This edge-first architecture is critical for maintaining high cybersecurity standards while providing the low-latency feedback required for real-time assembly line monitoring. Furthermore, the system is designed for deep integration, connecting with existing plant infrastructure such as Manufacturing Execution Systems (MES), Programmable Logic Controllers (PLCs), and various industrial tools like torque guns or wearables. The platform is specifically engineered for high-scale industrial operations, particularly within the automotive and aerospace sectors. It serves multiple stakeholders: Environmental Health and Safety (EHS) teams utilize the ergonomics monitoring and incident tracking features to proactively protect workers; Quality Engineers use the system to track specific parts by serial number to identify the root cause of defects; and Production Supervisors rely on real-time dashboards to manage cycle times and throughput. By providing a digital record of physical activities, the tool allows managers to transition from reactive problem-solving to proactive process optimization. What distinguishes Invisible AI from traditional computer vision solutions is its ease of implementation and rapid ROI. The system does not require extensive data labeling; its algorithms are designed to achieve high accuracy using only one to three examples of a process. Deployment is streamlined through a "plug-and-play" model where the edge devices are powered over ethernet, requiring minimal infrastructure changes. This combination of proprietary hardware, secure local processing, and low-training requirements makes it a unique asset for large-scale manufacturers looking to modernize their facilities with minimal disruption.

Pros & Cons

Processes all video data on-premise to maintain high cybersecurity without requiring cloud access.

Algorithms achieve high accuracy with only 1-3 training examples, significantly reducing setup time.

Supports up to three months of local video storage (2TB) per device for historical auditing.

Integrates directly with plant hardware like torque guns, andons, and PLC controllers.

Requires the purchase of proprietary hardware as the software cannot run on standard security cameras.

Cloud-based applications are available but not recommended due to scaling costs and bandwidth challenges.

Initial deployment can take up to two months depending on the project scale.

Use Cases

Quality Engineers can enter serial numbers into the dashboard to perform root-cause analysis on production defects within minutes.

EHS Teams can use the ergonomics monitor and forklift tracker to proactively prevent workplace injuries and analyze safety incidents.

Plant Managers can monitor real-time dashboards to identify the highest cycle times and address line slowdowns to maintain throughput.

Continuous Improvement Leads can analyze workforce movement data to remove inefficient workstations and optimize assembly line flow.

Platform
Web
Task
vision analysis

Features

ergonomics monitoring

multi-language interface (english, spanish, german)

root-cause analysis dashboard

plc and mes integrations

2tb local storage per device

on-premise edge processing

3d depth-sensing cameras

nvidia-powered ai chipset

FAQs

Is my data secure and stored on the cloud?

All data is stored on-premise on edge devices within the factory firewall to ensure maximum cybersecurity. While cloud integration is possible for enterprise customers via Azure or AWS, it is generally not recommended due to cost and scaling challenges.

How long does it take to deploy the system?

Deployment typically takes less than two months, though the exact timeline varies based on the scale and complexity of the project. On-site Vision System Engineers assist with the setup and optimization process.

Does the system require significant data labeling for setup?

No, the algorithms are designed to be accurate using only 1-3 examples of a task. This allows for a fast setup that only takes a few minutes per workstation without excessive data labeling.

What kind of infrastructure is required for installation?

The system requires minimal infrastructure investment; the edge devices are powered over ethernet (PoE). No additional bandwidth or WiFi upgrades are necessary as the processing is done locally.

Can I use existing plant cameras with this software?

No, the solution requires proprietary Invisible AI edge devices. These units include specialized 3D cameras and an internal AI chipset that are essential for the system's tracking capabilities.

Pricing Plans

Enterprise
Unknown Price

NVIDIA-powered edge device

3D depth-sensing cameras

2TB local video storage

PLC/MES integration

Ergonomics monitor

Root-cause analysis tools

Real-time cycle time dashboard

Multi-language software support

On-site engineer support

Forklift tracking

Job Opportunities

There are currently no job postings for this AI tool.

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