Power your Security and Surveillance solutions with the highest quality training data and accelerate ML developments.
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Unlock the full potential of AI-powered security and surveillance systems with our precise annotation services. From object detection to facial recognition, our expertise ensures accurate data labeling that enhances real-time monitoring, threat detection, and overall safety measures.
Tagging individuals in crowds to analyze movement patterns and detect suspicious behavior.
With Dodeed AI's expertise in data annotation, we help enhance crowd monitoring systems by accurately tagging individuals and tracking movement patterns in real-time. This enables AI-driven surveillance tools to detect anomalies and ensure public safety in high-traffic areas.
Labeling facial features for accurate identity verification and access control.
Dodeed AI utilizes advanced data annotation techniques to enhance AI models, ensuring timely threat detection and robust asset protection.
Defining boundaries and tagging objects to detect unauthorized entry into restricted areas.
This proactive method reduces theft and ensures a safer shopping experience, empowering retailers to address potential threats and enhance overall security measures swiftly.
Effective traffic management is essential for reducing congestion and enhancing safety on the roads.
By leveraging data annotation, we enable AI systems to analyze real-time traffic patterns, optimize signal timings, and improve overall urban mobility.
Drone surveillance offers a unique vantage point for monitoring large areas and enhancing security.
By utilizing data annotation, we enable AI systems to accurately interpret aerial imagery, improving threat detection and response capabilities in real-time.
We adapt quickly to your evolving project needs. Whether you're launching a proof of concept or scaling to millions of annotations, our agile workflow ensures speed, flexibility, and consistent quality — without the bottlenecks
Your data is your asset — and we treat it that way. We follow strict data privacy protocols, secure infrastructure practices, and industry-grade compliance standards to ensure your information stays protected at every step.
From emerging startups to global enterprises, we offer scalable pricing models that align with your budget and goals. You get top-tier annotation quality — without the enterprise-only price tag.
Leverage our advanced image annotation, labeling, and NLP expertise to develop AI-powered surveillance tools and real-time analytics for threat detection, crowd monitoring, facial recognition, and behavior analysis in security and surveillance.
Used for object detection in surveillance footage to identify people, vehicles, or objects of interest.
For instance, a bounding box can be drawn around a person in a video feed to track their movement across the scene.
This technology helps AI systems distinguish objects like vehicles, people, and buildings for better monitoring and threat detection.
With pixel-level precision, Intellisane AI enhances surveillance models to improve safety, intrusion detection, and decision-making in airports, public spaces, and restricted areas.
OCR annotation allows AI to accurately read and process text from images, documents, and signage.
Intellisane AI's precise labeling ensures reliable text extraction for improved security, surveillance, and real-time analysis in applications like license plate recognition, ID verification, and monitoring of restricted areas.
Thermal imaging annotation helps AI systems detect heat signatures and monitor temperature variations for enhanced security.
Our precise labeling ensures accurate identification of threats, intruders, or anomalies in low-visibility conditions, improving surveillance in areas like border control, night monitoring, and critical infrastructure.
Landmarking, keypoint, and dot annotation enable AI to track specific features like facial points or object movements in security footage.
Our detailed annotations elevate systems for facial recognition, posture monitoring, and behavior analysis, enhancing surveillance in locations like airports, public gatherings, and high-security zones.
Our efficient data annotation process guarantees quality at every stage. We prepare and clean datasets, apply precise labeling through skilled annotators, and conduct thorough quality checks. Finally, we deliver annotated datasets ready for AI model training and deployment.
Requirement Analysis is a crucial step where we collaborate closely with clients to fully understand their project goals and annotation needs. This phase allows us to define the types of annotations (e.g., bounding boxes, polygons, 3D cuboids) and quality benchmarks that align with their AI model objectives. We assess the data, develop detailed guidelines, and establish clear workflows to ensure that our annotations meet the highest standards.
By conducting thorough requirement analysis, we deliver tailored, accurate data labeling solutions that accelerate AI training and deployment.
In the Annotation Process, we leverage our expert annotators and advanced tools to label data with precision and accuracy. Depending on the project requirements, we apply various annotation techniques such as bounding boxes, semantic segmentation, or 3D cuboids. Our team follows the established guidelines to ensure consistency across all annotations, while adhering to quality standards.
Throughout the process, we maintain a seamless workflow, ensuring that the labeled data is ready for immediate use in AI model training and development.
In the Quality Assurance phase, we conduct thorough evaluations to guarantee the accuracy and uniformity of annotations. Our team uses both manual inspections and automated tools to catch any errors or inconsistencies. By implementing multi-layered reviews, we uphold stringent quality standards, ensuring all annotations align with project specifications.
This meticulous process is vital for delivering high-quality data that enhances the effectiveness and reliability of AI model training.
The Feedback Loop is an integral part of our process, where we continuously refine and improve annotations based on client feedback and quality assessments. By analyzing the results of quality checks and incorporating insights from clients, we adjust guidelines and workflows to enhance accuracy and efficiency.
This iterative approach allows us to respond quickly to evolving project needs, ensuring the final annotated data consistently meets the highest standards for AI model development.
In the Finalization and Delivery stage, we ensure all annotations are polished and meet the agreed-upon standards. After passing thorough quality checks and revisions, the annotated data is formatted and packaged according to client specifications. We prioritize timely delivery, providing the final dataset ready for immediate use in AI model training and deployment.
This phase ensures the project is completed efficiently, with accurate and high-quality data that drives optimal AI performance.
Our clients share how Intellisane AI’s precise and reliable annotation services boosted their AI projects, showcasing our commitment to quality and trust.
Intellisane AI played a key role in helping us reach 97% accuracy in automating foundation layout detection. Their deep understanding of spatial data and labeling precision brought measurable improvements to our AI pipeline. The team was communicative, detail-oriented, and delivered everything ahead of schedule.S. RagavanSr. ML Engineer
Our fashion AI model required pixel-level segmentation across 72 garment categories—and Intellisane AI handled it flawlessly. They quickly adapted to our complex annotation guidelines and delivered consistent, high-quality labels at scale. Their domain focus, speed, and attention to visual detail were exactly what we needed.Valerio ColamatteoSr. AI Scientist & Team Lead
For our ADAS project, Intellisane AI delivered precise vehicle annotations across diverse traffic scenes, including multiple object classes and occlusion scenarios. Their expertise in automotive data workflows and quality-first mindset helped us pass all validation checks, with timely delivery and professional communication throughout.Raphael LopezCo-Founder & CTO
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