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What is FLUX 3 Action?

FLUX 3 Action is a dynamic 7B model designed to improve action prediction in robotics and other high-latency environments. It is founded on the multimodal FLUX 3 backbone and has been rigorously pretrained on extensive datasets that include images, videos, and audio, with a significant emphasis on video materials. Following this, it enters a joint video-action training and fine-tuning phase that is specifically tailored for various robotic applications and action frameworks. By processing instructions, visual data from cameras, and robot joint angles, FLUX 3 Action can forecast motor commands while also anticipating visual results, allowing robots to execute actions, reassess their environment, and refine their plans accordingly. Unlike traditional methods that separate visual prediction from control, this model merges future video predictions with action commands, effectively using insights gained from its comprehensive video pretraining to enhance robot control strategies. Impressively, its single-step 7B model boasts a success rate of 38.3% on the RoboLab-120 benchmark, underscoring its practicality in real-world scenarios. Additionally, this novel fusion of action and perception represents a groundbreaking leap forward in the domain of robotic control, paving the way for more sophisticated and capable robotic systems. As technology advances, the implications of such an integrated approach could lead to even more intelligent and responsive robots in various applications.

What is FLIR FLUX?

FLUX is a sophisticated software platform tailored for seamless integration with FLIR's advanced video detection systems. This innovative platform consolidates a wealth of traffic-related data, encompassing events, alarms, and video feeds generated by an array of cameras, sensors, and detectors. Moreover, FLUX boasts powerful video management functionalities, allowing it to control network video recorders while simultaneously monitoring both stationary and mobile cameras. By leveraging FLUX, users can efficiently manage all traffic data collected from diverse sensors, ensuring that the insights provided are both relevant and useful for their specific requirements. Accessing this comprehensive traffic management system is simple, necessitating nothing more than a web browser and a reliable network connection. FLUX empowers users to collect, visualize, and archive data pertaining to traffic, events, and alarms, while also offering graphical representations of video detectors complete with logging and alert systems for various incidents. Transportation managers worldwide depend on FLIR's detection and monitoring capabilities to promote safe and efficient vehicle movement. With its ability to process video or thermal imagery in real time, FLUX significantly enhances traffic management practices across multiple environments, including urban areas, highways, and tunnels. This holistic approach not only elevates safety standards but also fine-tunes traffic flow, underscoring FLUX's vital contribution to contemporary traffic management solutions. Ultimately, the platform represents a pivotal advancement in the way traffic systems are monitored and controlled.

Media

Media

Integrations Supported

Integrations Supported

Acyclica
FLIR CITY

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Black Forest Labs

Date Founded

2024

Company Location

Germany

Company Website

bfl.ai/models/flux-3-action

Company Facts

Organization Name

Teledyne FLIR

Date Founded

1978

Company Location

United States

Company Website

www.flir.com/products/flux/

Categories and Features

AI Models

Not specified

Categories and Features

Traffic Management

Not specified

Video Wall Management

Not specified

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