Computer Vision: Automating Human Perception at Scale

We design and deploy computer vision systems that interpret, classify, and act on visual data with near-human accuracy.

Without data governance, annotation precision, and edge deployment capabilities, computer vision projects often fail to transition from POC to production.

Our Approach

Model Design

Train CNNs, R-CNNs, and YOLO models for object detection and recognition.

Data Pipeline

Implement synthetic data generation and augmentation.

Edge Deployment

Optimize models for on-device inference with TensorRT and OpenVINO.

Integration

Connect vision AI to ERP, IoT, and workflow automation systems.

Key Differentiators

End-to-End Delivery

From data capture to real-time analytics.

Hardware Optimization

Edge-ready solutions with quantized inference.

High Accuracy

>95% detection precision across diverse conditions.

Compliance Built-In

Privacy and governance controls for visual data.

Expert Resources at INT.

Our 30+ computer vision specialists deliver perception intelligence across industries.

  • Deep learning engineers skilled in OpenCV, TensorFlow, and PyTorch
  • Data labeling and augmentation experts for high-quality training data
  • Edge AI developers optimizing inference on embedded devices
  • MLOps engineers ensuring scalable deployment and monitoring
case study

Built a real-time quality inspection solution using vision AI for a global FMCG manufacturer.

Featured

96%

defect detection accuracy

70%

reduction in manual quality control overhead
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