Detect. Interpret. Enhance.
Retrieve real-time insights from images and videos through our computer vision development and consulting services that turn pixels into powerful predictions.
Detect and localize objects in images or videos using advanced models like YOLOv8, YOLO11, and Vision Transformers (ViTs). These models generate bounding boxes, assign labels, and utilize a self-attention mechanism to capture global context, enhancing accuracy. Businesses can use our computer vision development services for object detection, inventory tracking, and automated monitoring.
SOTA video analysis models like ByteTrack, DeepSORT, ETTrack, and OneTracker are best for object tracking and scene understanding. These models accurately track objects across frames, detect motion, and predict future movements. After analyzing object interactions and recognizing anomalies, they can trigger actions such as alerts or emergency responses, making them useful for applications like action recognition, vehicle tracking, and behavior analysis.
Instance segmentation identifies and segments individual objects within an image. We deploy advanced models like YOLO11-seg, Mask R-CNN, SAM2, OneFormer, and SOTA to generate precise masks for each object. For pixel-level precision, we use semantic segmentation models like DeepLabV3+ and SegFormer. Works best for medical imaging and autonomous navigation.
Customers often seek to find similar products, objects, or relevant information by simply uploading a picture or a video clip. Using advanced models like CLIP, DETR, and YOLO11, we enable accurate product recognition and retrieval based on images. This technology has applications in e-commerce/ retail, fashion, and catalog management, making it easier for customers to find what they need.
Imagine being able to track and understand human movements, gestures, and body positions with pinpoint accuracy. Our pose estimation technology, powered by models like YOLO-pose, OpenPose, and HRNet, makes this possible in real-time. Optimize fitness tracking, virtual experiences, and workplace ergonomics to learn how people move and interact.
We build custom image classification models using advanced architectures like EfficientNet and Vision Transformers (ViT). Our models are optimized for accuracy and speed, making them suitable for real-time applications like medical diagnostics, defect detection, and inventory management. We also offer on-device classification solutions for IoT and mobile devices.
VLMs work by combining visual information with text, helping computers ‘see’ and talk about what they see. It’s a collaboration of NLP and computer vision for tasks like image captioning, generating answers, and summarizing visual data. Using advanced VLMs like Llama-3.2-90B-Vision-Instruct, InternVL2.5, Qwen2-VL, CogVLM2, and PaliGemma2, we enable accurate image analysis.
VisionX’s facial recognition solutions, powered by advanced models like FaceNet, ArcFace, and YOLOv11-face, deliver high-accuracy identification and verification. Ideal for security, access control, and marketing, facial recognition services deliver real-time recognition while adhering to GDPR standards. Our models are customizable to meet specific business needs.
If your business relies on visual data, CV-powered OCR models like PaddleOCR, EasyOCR, and Tesseract can do wonders. They extract text from scanned documents, video frames, and real-time streams while accurately processing forms, receipts, and tables. We customize OCR models for your specific needs, like document scanning, inventory management, and real-time video text extraction.
Our 5-step approach to computer vision development services:
We collaborate with clients to collect images and videos from cameras, databases, or online sources. Tools such as OpenCV (latest version) and PIL refine image quality by addressing challenges like poor lighting, noise, and low resolution. Additional techniques like histogram equalization and edge enhancement can further optimize the data for the next stages in the pipeline.
We carefully select and fine-tune models based on your requirements using frameworks like PyTorch, TensorFlow, and Keras. If necessary, we develop custom neural networks to achieve the best results for your business needs.
We train models on high-performance GPUs, using advanced techniques like data augmentation and hyperparameter tuning to optimize for speed, accuracy, and reliability.
Our computer vision solutions are deployed across multiple environments, such as cloud platforms (AWS, Azure, GCP), on-premise systems, or edge devices. These models work for real-time processing and smoothly integrate with your existing infrastructure.
We use tools like MLflow and Kubeflow to automate and scale the entire lifecycle of model development and deployment. This guarantees long-term performance and adaptability.
Why VisionX?
Computer Vision is the branch of AI that allows computers to understand the context of images and videos like NLP does for textual data. In simple words, computer vision solutions mimic human vision by processing and extracting information from visual data (images and videos), just like the human eye.
Computer vision can revolutionize many sectors. Retail benefits from the enhanced management of inventory and improved customer insights through its application. The power and energy sector benefits from automated asset inspections and predictive maintenance, which enhances operational safety and efficiency. In the technology field, it powers secure facial recognition, AR/VR, and smart robotics. Manufacturing benefits from improved quality control through real-time defect detection, while QSRs can use it to monitor kitchen hygiene, automate ordering systems, and optimize ingredient inventory.
Unlike traditional image processing, which relies on fixed algorithms and manual rule-based techniques, computer vision software development uses machine learning services to interpret and analyze visual data. This approach not only yields more accurate and robust insights from images and videos but also enables the creation of intelligent systems that can make data-driven decisions autonomously.
Engaging with computer vision consulting services can lead to increased operational efficiency, cost reductions, and the development of innovative products. By partnering with top computer vision consulting companies like VisionX, businesses can harness advanced technologies to gain a competitive edge.
No, computer vision and deep learning are not the same. Computer vision is a broader field that involves enabling computers to understand visual information. Deep learning is a specific technique within computer vision that uses artificial neural networks to learn complex patterns from data.
Organizations must possess extensive quality data yet we recognize that some begin with no existing datasets. We assist organizations by sourcing or creating new data through methods like camera setup or synthetic data creation and apply augmentation techniques to enhance sample variety. Our approach includes transfer learning which utilizes pre-trained models to minimize the necessity for extensive datasets in specific situations.
We’ve developed a range of custom solutions, including a visual search feature for an e-commerce store, an AR try-on experience for a jewelry company, a transmission line fault detection system for the energy sector, and an order validation solution for restaurants to reduce errors.
Pricing depends on various factors, including:
After an initial consultation, we provide a ballpark figure. A more detailed estimate is given once the project scope is refined.
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