Service
Computer Vision
We build computer vision systems that see, understand, and act on visual data. From quality control to facial recognition and medical imaging.
Get a Free QuoteWhat We See
Our computer vision team creates systems that analyze images and video with human-level accuracy. Using OpenCV, TensorFlow, and PyTorch, we build solutions for object detection, image classification, OCR, facial recognition, and medical image analysis that integrate seamlessly into your workflow.
What You Get
Computer Vision Services
Image Classification
Categorize images by content, quality, or defect. Train custom classifiers for your specific products and use cases.
Object Detection
Locate and count objects in images and video. Real-time detection for security, inventory, and manufacturing.
OCR & Document AI
Extract text from scanned documents, IDs, and receipts. Structured data output with confidence scores.
Facial Recognition
Identity verification, attendance systems, and personalized experiences. Privacy-compliant and accuracy-optimized.
Video Analysis
Action recognition, crowd counting, and anomaly detection in video streams. Real-time alerts and reporting.
Medical Imaging
X-ray, MRI, and CT scan analysis for anomaly detection. Assistive AI for radiologists and clinicians.
Why Choose Us
High Accuracy
Our models achieve 90-98% accuracy on custom datasets. Rigorous testing and continuous improvement.
Edge Deployment
Deploy models on edge devices, mobile phones, and embedded systems. Low latency without cloud dependency.
Real-Time Processing
Process video streams at 30+ FPS. GPU-optimized inference for demanding applications.
Domain Expertise
Experience across manufacturing, healthcare, retail, and security. We understand your specific visual challenges.
Our Computer Vision Process
Data Collection
Image and video capture, annotation, and augmentation. We help build high-quality training datasets.
Model Training
Train detection, classification, or segmentation models. Evaluate mAP, precision, and recall metrics.
Optimization
Model compression, quantization, and GPU acceleration. Optimize for target hardware and latency requirements.
Deployment
Cloud APIs, edge devices, or mobile apps. Monitoring, retraining, and version management.
Frequently Asked Questions
How many images do I need for training?
Simple classification needs 100-500 images per class. Object detection typically needs 500-2,000 annotated images per class. We help with data augmentation.
Can models run on mobile devices?
Yes, we optimize models with TensorFlow Lite and Core ML for real-time inference on iOS and Android devices.
Is facial recognition privacy-compliant?
We implement consent management, data encryption, and GDPR-compliant storage. On-device processing options for maximum privacy.
Ready to See the Possibilities?
Let's build computer vision solutions that transform how your business sees the world.
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