Versatility
The tool should be capable of handling different types of data, including 2D and 3D images, videos and point clouds generated by LiDAR sensors.
Industry
Security
Enhance security AI with Keylabs' precision annotation solutions
As technology advances, the security sector is increasingly relying on data annotation tools to enhance their surveillance systems. With the rise of video surveillance and object recognition, it has become crucial to have accurate and efficient data annotation tools to ensure that these systems function effectively.
Data annotation tools have become an essential component of security systems, with the ability to recognize and track faces, emotions, and objects. The accuracy of these tools is paramount, as they are used to identify potential threats and prevent criminal activity.
Applications
Data annotation tools
Some common applications of security AI include:
01 / Video surveillance & object recognition
With the help of big data analytics, object detection algorithms can be trained to identify a range of objects for efficient security measures. Multi-object tracking mechanisms offer advanced and accurate real-time tracking capabilities. Real-time video segmentation identifies objects accurately, digitizing data faster while providing additional details for better situational awareness.
02 / Emotion recognition
This biometric technology attempts to analyze a person's inner emotional state through methods such as facial expressions or speech analysis. Emotion recognition technology could be used to detect potentially dangerous behavior at airports or other public places by analyzing facial expressions for signs of anxiety or hostility.
03 / Face recognition
Facial recognition utilizes cameras and software algorithms to analyze and identify human faces. To ensure the accuracy of facial recognition models used in security AI, it is imperative to have absolute precision in the annotation of the dataset. Annotators correctly identify key features of the face — eyes, nose, mouth area — with intricate details.
04 / Object tagging & tracking
Object tagging and tracking are crucial elements in the development of security systems powered by artificial intelligence. Accurate image and video annotation is essential in training models to detect objects of interest. Keylabs provides video annotation and object interpolation tools that enhance dataset accuracy.
Platform requirements
Key features
There are several key features that a robust data annotation tool for security should possess:
Precision
High-quality annotations are crucial for the accuracy of AI models. The tool should enable precise labeling of objects and features, minimizing misinterpretation.
Scalability
A data annotation tool should be scalable to handle large datasets efficiently, streamlining the annotation process and reducing training time.
Automation
AI-powered tools leverage machine learning algorithms to automate parts of the annotation process, speeding up workflow and increasing efficiency.
Collaboration
A good data annotation tool should facilitate collaboration among team members, enabling multiple annotators to work together for consistency and speed.
Quality control
Built-in quality control features allow for easy review and verification of annotated data, maintaining data integrity.
Customization
A flexible tool allows for customization to meet the unique needs of each project and adapt to new challenges in the industry.
Integration
The tool should integrate seamlessly with various machine learning frameworks and platforms for easy use of annotated data in training.
Data security
A data annotation tool must prioritize data security and privacy, ensuring information is protected at all stages of the annotation process.
Applications
Use cases
Video surveillance & object recognition
Keylabs excels in video surveillance and object recognition, enhancing security systems with precise annotations for reliable monitoring.
Box & line
Emotion recognition
In emotion recognition, Keylabs provides nuanced annotations, vital for advanced security systems and situational awareness.
Multi-type
Face recognition
Keylabs' detailed annotations bolster face recognition technology, ensuring high accuracy for secure identification.
Box & polygon
Object tagging & tracking
For object tagging and tracking, Keylabs delivers exact annotations, crucial for monitoring and maintaining security.
Box & line
Privacy first
Data security
Using the Keylabs annotation tools comes with a commitment to data safety. Keylabs employs a range of security measures to protect valuable and sensitive data. This includes comprehensive infrastructure security if you choose to access Keylabs through the cloud. Alternatively, Keylabs can be installed on premises, guaranteeing you total control over access. We will continue to emphasize data protection as a priority by utilizing a diverse array of security measures and industry best practices.
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Platform
Top features
Keylabs is created as a platform that incorporates state-of-the-art, performance oriented tools and processes.
ML assisted data annotation
Keylabs is a streamlined data labeling platform with AI-enhanced annotation. Tailored for easy integration with any client model and time & cost efficiency. Keylabs' advanced algorithms provide quick, accurate data prep for superior model training.
3D tool
Keylabs is a super-fast tool, soaring through Lidar files at ultra speeds. It seamlessly handles all file formats, ensuring a consistent, efficient workflow regardless of file complexity.
High performance video annotation
With the Keylabs platform's technical and software capabilities, video annotation is highly accurate (precision of up to 99.9% depending on project needs) and fast.
Magic wand
Speeds up the annotation process by automatically detecting closed shapes of the same color or color gradient in a highly precise manner.
Object interpolation
Object interpolation accelerates annotation across a sequence of frames. Annotators label shape in the first and last keyframes, and the algorithm automatically generates labels for intermediate frames.
A-Z order
Objects can be placed on different leveled layers, which allows operators to correctly detect and work with those objects and their boundaries.
Multilayer annotation
Multilayer annotation allows multiple diverse annotations on a single piece of data such as an image or video frame, enriching the dataset with multiple facets of detail.
Object linking
Connects different instances of the same object across multiple frames or images, ensuring continuity and consistency of the annotation.
Hierarchical attributes
Using attribute hierarchies, it is possible to define structures of metadata for each item in the dataset using dependent attributes.
Workflow and task distribution
Workflow includes custom stages of annotation, verification, and final delivery. Task distribution ensures the right work goes to the right team member.
Data management
Data management is about strategically handling and organizing data throughout its lifecycle, from collection to annotation to archival.
Attributes interpolation
Attributes metadata can be interpolated between frames, automatically estimating object properties across keyframes.
Toolkit
Annotation types
Keylabs gives developers access to a full suite of annotation techniques:
Bounding box
A rectangular box defined by coordinates that encapsulates an object of interest within an image.
Oriented bounding box
A rotated rectangle that tightly encloses an object, accommodating its orientation and shape more precisely than a standard bounding box.
Polygon
A closed plane figure made up of several line segments joined together, used to define irregular shapes in an image.
Points
The point annotation tool places dots on images or videos, ideal for highlighting details like facial features, expressions and body postures.
Lines & multilines
Annotate linear structures like lane markings, cables and roads using straight or multi-segment lines.
Skeletons
Define custom skeleton topologies with any number of joints and connections for pose estimation and motion tracking.
Cuboid
3D bounding box capturing depth, height and width — essential for autonomous driving and AR/VR applications.
3D point cloud
Annotate LiDAR and 3D scene data with spatially-referenced points for high-fidelity spatial understanding.
Semantic segmentation
Pixel-level classification where every pixel in the image is assigned to a class label.
Instance segmentation
Pixel-level classification that distinguishes between multiple instances of the same object class.
Bitmap
Pixel-wise raster mask annotation allowing for highly precise object boundaries and gaps.
Mesh
Interconnected vertices forming polygonal structures — ideal for 3D reconstructions and digital twins.
Custom
Combine any of the above annotation techniques to accomplish specific annotation goals for your project.
Compliance
Enterprise-grade. Built for trust.
Keylabs meets the highest standards of data security and privacy.
