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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Detect and analyze faces, license plates, and ambiguous visuals from low-quality video recordings. Utilize our advanced forensic video enhancement software to produce convincing evidence artifacts or video snippets. Ensure the privacy of innocent individuals, adhere to FOIA guidelines, and emphasize pertinent visuals with our Spotlight tool for video and audio redaction. The MotionDSP suite features top-tier solutions for sophisticated image processing and computer vision tailored for sectors such as public safety, security, government, and defense. Since our product's debut over a decade ago, we have empowered clients to retrieve essential data from video across diverse fields, reaching organizations like the US Secret Service, Scotland Yard, NCIS, and many other international entities. By continually refining our technology, we strive to meet the evolving needs of our users and remain at the forefront of the industry.

Description

The premier platform designed for the complete computer vision process allows you to evolve from image annotation to precise neural networks at speeds up to ten times quicker. Utilizing our exceptional data labeling tools, you can convert your images, videos, and 3D point clouds into top-notch training data. This enables you to train your models, monitor experiments, visualize results, and consistently enhance model predictions, all while constructing custom solutions within a unified environment. Our self-hosted option ensures data confidentiality, offers robust customization features, and facilitates seamless integration with your existing technology stack. This comprehensive solution for computer vision encompasses multi-format data annotation and management, large-scale quality control, and neural network training within an all-in-one platform. Crafted by data scientists for their peers, this powerful video labeling tool draws inspiration from professional video editing software and is tailored for machine learning applications and beyond. With our platform, you can streamline your workflow and significantly improve the efficiency of your computer vision projects.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

MotionDSP

Founded

2005

Country

United States

Website

www.motiondsp.com

Vendor Details

Company Name

Supervisely

Founded

2017

Country

United States

Website

supervise.ly/

Product Features

Law Enforcement

Case Management
Certification Management
Court Management
Court Management Integration
Crime Scene Management
Criminal Database
Dispatching
Evidence Management
Field Reporting
Incident Mapping
Internal Affairs Administration
Investigation Management
Scheduling

Product Features

Computer Vision

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

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Alternatives

Alternatives