Image Processing

Filtering, transformation, enhancement, and feature extraction for high-quality image analysis.

Object Detection & Tracking

Real-time detection, segmentation, and tracking using algorithms like Haar cascades and optical flow.

Video Analysis

Frame extraction, motion detection, stabilization, and analytics for surveillance and media.

ML Integration

Seamless integration with ML frameworks like TensorFlow, PyTorch for advanced models.

Optimization & Deployment

Performance tuning, hardware acceleration (CUDA), and cross-platform deployment.

Custom Tools

Tailored modules for AR/VR, robotics, medical imaging, and industrial automation.

1

Discover: Analyze requirements, data sources, hardware constraints, and performance metrics to define your computer vision goals.

2

Design: Select algorithms, plan pipelines, and integrate with ML models for robust vision workflows.

3

Build: Implement solutions, test accuracy, and integrate with enterprise systems like IoT or cloud.

4

Optimize: Tune performance, monitor metrics, and iterate for efficiency and scalability.

Surveillance Systems

Real-time object detection, anomaly alerts, and video summarization for security.

Medical Imaging

Tumor detection, X-ray analysis, and organ segmentation for diagnostics.

Retail Analytics

Customer tracking, shelf monitoring, and heatmaps for store optimization.

Autonomous Vehicles

Lane detection, obstacle avoidance, and traffic sign recognition.

Quality Control

Defect detection, measurement, and inspection in manufacturing lines.

AR/VR Applications

Pose estimation, marker tracking, and virtual overlays for immersive experiences.