Computer Vision Services

Custom Computer Vision Solutions To Deliver Dynamic Business Benefits

MoogleLabs help you yield state-of-the-art applications that seamlessly combine computer vision capabilities with ERP, POS, CCTV, and diagnostic software. From detection of anomalies in the production line to analysis of medical images and image recognition, we help you harness computer vision solutions for ultra-productive enterprise applications and cloud-based services.

Catering to unique industry objectives, our computer vision experts bring you the best of AI integration aiding computer vision as a service through object classification, feature recognition, segmentation, pattern recognition, object detection, filtering, and more. Collaborate with us to foster computer vision products and prototypes that are made to complement your operations and dominate your niche.

Our Computer Vision Services
To Create The Difference

No matter what obstacle you encounter, we're already well-acquainted with the realm of computer vision. Our commitment goes beyond our technical expertise developing Computer Vision Solutions. As your Computer Vision Services Company, we're invested in your business triumph, assuring you that our computer vision solutions will swiftly yield a high ROI.

Let’s Plan A Conversation

Image Classification

Our robust computer vision solutions are tailored to meet your precise image classification goals. The process encompasses automated image sorting within applications or visual databases, as well as capabilities for visual search, content moderation, and more.

Image Segmentation

Semantic and instance segmentation are integral components of our computer vision solutions. Our team of dedicated computer vision experts aim to provide comprehensive object information for medical imaging, robotics, video surveillance, traffic monitoring, etc.

Object Detection

Need help with object detection in crowd counting, facial recognition, video surveillance, or mask detection? We can do it all. From basic object detection to anomaly detection in the manufacturing, farming, or radiology sector, we assure you of high-performing development.

Object Tracking

MoogleLabs could help you harness deep learning algorithms to estimate and predict the movement of objects in video footage. Whether it's for surveillance apps, activity recognition, or traffic monitoring systems, we have a proven track record of success across domains.

Intelligent Video Analysis

Our suite of computer vision services and solutions brings you advanced video analysis technology encompassing tasks like description, segmentation, summarization (including event, feature, motion/color, and object-based summaries), and post-processing support.

Pose Estimation

As a computer vision analytics company, we help you select the most suitable approach and library for interpreting human posture using deep learning. Whether you're in the retail, healthcare, sports, or any industry, we ensure turning your vision into reality.

Content-based Image Retrieval

Our CBIR systems are made to conduct image searches based on content analysis rather than relying on associated metadata. Delivering Computer Vision as a Service, we bring you expert assistance in developing an efficient search mechanism for your visual database.

Generative Adversarial Networks

At MoogleLabs, we help you deploy GANs to create images based on descriptions, recover missing elements and foster enhanced image resolution adapting to different domains. Besides, we possess expertise in managing data and training models to deliver precise results.

Computer Vision on the Edge

Delivering custom computer vision solutions, we help you leverage on-device resources to equip your business with automated predictions characterized by minimal latency. Get in touch with us for automating monitoring or visual inspection tasks to gain efficiency.

Enabling Industries To See Through The Lens Of Computer Vision

With massive expertise and a team of computer vision solutions experts, we excel in leveraging cutting-edge technology to create value and drive industry transformation.

Reach Our Team

Agriculture

Enhance crop management, detect diseases, and optimize harvesting through precision monitoring and analysis of crops using computer vision.

Education

Enable interactive learning with augmented reality, personalized content, and automated assessments for a more engaging educational experience.

Healthcare

Improve diagnostics, surgical procedures, and patient monitoring with advanced imaging, AI-powered diagnostics, and real-time health data analysis.

Fitness & Sports

Provide personalized training plans, track performance metrics, and enhance sports analysis for athletes, coaches, and enthusiasts.

Manufacturing

Increase efficiency, reduce defects, and enhance quality control through automated visual inspections and real-time monitoring of production processes.

Retail

Elevate customer experiences with smart shelves, cashier-less stores, and personalized shopping recommendations using computer vision and AI algorithms.

Security

Enhance surveillance systems with facial recognition, anomaly detection, and real-time threat analysis for improved safety and security measures.

Our Process

MoogleLabs enables you to capitalize all your visual data through custom
computer vision solutions.

Tools & Technologies We Use

Frameworks

Language: Python

Computer Vision Libraries: OpenCV

Python Libraries: SciPy, Scikit-learn, Seaborn, Pandas

Deep Learning Platforms: TensorFlow, Keras, PyTorch

Feature Extraction

Utilizing Neural Networks:Employing various neural network architectures such as CNN, LSTM, innovative models like ResNet, VGG, CRAFT for advanced feature extraction. Additionally, implementing models like Yolo for real-time object detection, networks for face mesh prediction, pose estimation, GANs, and Autoencoder/Variational Autoencoder models.

Traditional Approaches:Incorporating classical techniques including optical flow estimation, and utilizing feature descriptors like SIFT, SURF, and ORB.

Feature Analysis

Employing Probabilistic Models: Utilizing models like Hidden Markov Model and Bayesian networks for comprehensive feature analysis.

Transfer Learning Techniques:Applying transfer learning methodologies to leverage pre-trained models for enhanced feature analysis.

Algorithms: Implementing a variety of algorithms, including optimization techniques (Metropolis-Hastings, Nelder-Mead), genetic algorithms, SLAM, clustering (K-means, DBScan), classification (SVM, SGD, decision trees, random forests), segmentation, and traditional methods (3-P, homography estimation, edge detection).

Frequently Asked Questions

Computer vision can enhance operations through tasks like image recognition, object detection, quality control, and automation, leading to increased efficiency and accuracy.

Common technologies include Python, OpenCV, TensorFlow, Keras, and PyTorch, among others.

Both general as well as custom computer vision solutions range from image classification, object detection, and image generation to video analysis, augmented reality, and more.

Yes, data security is a priority. A computer vision services company like us always aims to implement robust measures to protect sensitive information and adhere to industry-standard security protocols.

The integration process involves steps like requirement analysis, solution design, data collection and preprocessing, model development, testing, deployment, and ongoing support.