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ease
features
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support

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Description

BigBear.ai's innovative use of computer vision, predictive analytics, and event alerting technology transforms the landscape of edge data analysis. By harnessing the power of AI and machine learning, our sophisticated systems thoroughly analyze extensive datasets, revealing insights that are typically beyond human comprehension, thereby minimizing blind spots and enhancing situational awareness. The Arcas platform processes millions of data points to improve situational awareness while leveraging artificial intelligence and machine learning to generate predictive forecasts. It adeptly analyzes video streams and produces real-time alerts when anomalies are detected, ensuring timely responses. With our flexible analytics framework, Arcas not only reviews historical events but also anticipates future trends, equipping decision-makers with the necessary information to act confidently. Furthermore, it seamlessly consolidates various data sources, including sensors and edge devices, into a cohesive and universally accessible format, fostering a more integrated approach to data management. This holistic integration ultimately empowers organizations to adapt quickly to changing circumstances and make data-driven decisions effectively.

Description

LotusEye offers a cloud-based service for AI-driven anomaly detection that autonomously acquires knowledge of standard behavior from numerical or sensor data provided in CSV format and consistently computes anomaly scores to identify irregularities that could signify faults or unforeseen activities, delivering notifications and visual analytics without necessitating any machine learning expertise from users. The service accommodates both wide-format CSV files, where every row corresponds to sensor readings at specific timestamps, and long-format CSV files that include timestamp, sensor name, and value columns, allowing users to upload their data either through a simple drag-and-drop interface or via an API for automated processing on a scheduled basis. Once an AI model is trained using data from normal operations, users can then input test data to obtain calculated anomaly scores and view these results on dashboards featuring time-series graphs, threshold markers, and filtering options, which assist teams in identifying unusual trends and probing potential concerns swiftly. This streamlined process enhances operational efficiency and empowers teams to act on insights generated by the platform.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Google Sheets
Microsoft Excel

Integrations

Google Sheets
Microsoft Excel

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$13 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

BigBear.ai

Country

United States

Website

bigbear.ai/solutions/national-security/arcas/

Vendor Details

Company Name

LotusEye

Country

Japan

Website

lotuseye.co.jp/

Product Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Product Features

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