Extract meaningful information from images and videos. Backed by 10+ years of experience building software for startups and enterprises, our team of researchers and engineers delivers tailored computer vision software development services.
Our software engineers pioneer innovative computer vision solutions. We develop intelligent, high-performance software that unlocks maximum capabilities across image recognition, real-time analytics, volumetry, visual navigation, mapping and more. With expertise in cutting-edge technologies, we revolutionize your operations through software tailored to drive automation excellence.
Our team of experts develops sophisticated image recognition and analysis systems that accurately identify objects, detect patterns, and extract meaningful information from visual data.
We create intelligent video analytics solutions that can process and analyze video streams in real-time, enabling applications such as surveillance, crowd monitoring, and anomaly detection.
Our cutting-edge algorithms enable 3D perception and reconstruction from visual data, empowering applications in augmented reality, robotics, and autonomous systems.
Ideal for robotics, AR/VR and industrial automation, this technique uses synchronized cameras and advanced algorithms to calculate accurate depth information for every pixel, enabling 3D scene reconstruction, obstacle detection, and autonomous navigation.
Turn image sequences into detailed 3D models with Structure from Motion (SfM). This technique, perfect for film production and virtual reality, reconstructs 3D scenes by analyzing object motion across multiple images, capturing intricate details and textures.
Ensure precision with camera calibration, correcting lens distortions and aligning coordinates for accurate measurements. Our camera modeling solutions, essential for augmented reality and photogrammetry, create mathematical representations of lens geometry, enabling precise 3D-to-2D mapping, accurate image alignment, depth estimation, and spatial understanding.
Achieve seamless object tracking with Multi-Camera Multi-Object Tracking (MCMOT) technology, capable of following multiple objects across various views with precision. Ideal for security surveillance, traffic management, and crowd monitoring, ensuring comprehensive tracking, improved spatial awareness, and operational efficiency.
Ideal for access control, security, and personalized interactions, our state-of-the-art facial recognition algorithms deliver robust performance in diverse conditions, including varying lighting and expressions. Accurately identify and authenticate individuals based on unique facial features, boosting security and user experience.
Ideal for surveillance, sports analysis, autonomous vehicles, and robotics, our object tracking technology leverages advanced AI algorithms to monitor and follow objects in real-time, even in complex environments, ensuring accurate, continuous tracking and enhancing situational awareness.
This technology provides the foundation for accurate 3D reconstruction, object recognition, and image stitching. Advanced feature matching algorithms enable robust image registration, recognition, and tracking, powering applications in computer vision, augmented reality, and photogrammetry.
Explore 3D spatial relationships between camera views and scenes with multi-view geometry. This technique, essential for robotics, 3D modeling and urban reconstruction, uses camera models, projective geometry, and algorithms like Structure from Motion to reconstruct real-world structures from multiple viewpoints, enabling accurate and detailed spatial understanding.
Ideal for industrial automation, robotics, virtual reality, and medical imaging, our 3D vision technology can capture and process three-dimensional information. This enables depth perception and spatial understanding, delivering accurate, detailed representations of the physical world.
At dtLabs, we’re proud to have customers in more than 15 countries, across industries. Here’s what some of them have to say about working with us:
“The AI models created by dtLabs outperformed our technology at the time in all cases, and often performed better than human AP staff tasking with fewer errors and faster decisions. At this point in time, very few documents now need any human review at all.”
CEO, Zudello
“The dtLabs team provides stellar Research and Development services helping us to develop and build new lines of products and technologies pushing the state-of-art AI and Computer Vision.”
“dtLabs integrates seamlessly with our teams. They have earned our trust by excelling in communication, delivery and focusing on results helping us on developing technically challenging and amazing products.”
Computer Vision is a field of artificial intelligence that enables machines to interpret and analyze visual data from the world, such as images and videos. By mimicking human vision, it allows systems to recognize objects, detect patterns, and make decisions based on visual input.
For businesses, Computer Vision can enhance operations by automating tasks like quality control, inventory management, and customer behavior analysis. It improves efficiency, reduces errors, and unlocks new opportunities for innovation, such as personalized marketing or advanced security systems.
Computer Vision works by processing visual data through algorithms that extract meaningful information. It typically involves three key steps: image acquisition (capturing data via cameras or sensors), image processing (enhancing and analyzing data), and interpretation (using machine learning models to classify or predict outcomes).
Techniques like object detection, facial recognition, and semantic segmentation allow systems to identify patterns in real-time or analyze large datasets for insights. Deep learning models, particularly convolutional neural networks (CNNs), are commonly used to achieve high accuracy in complex visual tasks.
Computer Vision is transforming industries by automating tasks, improving decision-making, and enhancing accuracy. Key sectors benefiting from this technology include healthcare, manufacturing, retail, agriculture, automotive, logistics, and energy. In healthcare, it powers medical imaging analysis and robotic surgeries. Manufacturing uses it for quality control, predictive maintenance, and assembly line automation.
Retail applications include cashier-less stores and personalized shopping experiences. Agriculture leverages Computer Vision for crop monitoring and pest detection, while automotive and logistics sectors use it for autonomous vehicles and inventory management. Finally, energy companies employ Computer Vision for safety monitoring and defect detection in infrastructure.
To implement Computer Vision in your business, start by identifying specific problems or processes where visual automation could add value. Assess your existing infrastructure to ensure compatibility with hardware like cameras or sensors. Partner with AI specialists or vendors to develop tailored solutions using pre-trained models or custom algorithms based on your needs.
Begin with small-scale projects to validate feasibility before scaling up deployment. Train employees on how to use the technology effectively and establish a system for monitoring performance metrics to refine operations over time. Regular updates to models ensure they remain accurate as your business evolves.
Discover how AIOS can meet your computer vision and AI needs. Contact us to learn how we can help drive innovation in your company.
Our mission is to enable frictionless AI innovation, helping companies like yours to get to better solutions faster by unlocking new opportunities, cutting costs, and accelerating growth. Fill out the form and we’ll get back to you shortly.
