Computer Vision & Visual Intelligence

Turn your cameras and documents into data sources. We build high precision Computer Vision Systems that automate visual inspection, extract data from unstructured documents, and detect anomalies in real time deployed on the Edge, Cloud, or On-Premise.

Automating the Visual World

Superhuman Accuracy

Humans get tired; AI doesn't. Our visual inspection models detect microscopic defects with >99% consistency, 24/7.

Unstructured Data

80% of enterprise data is locked in PDFs and images. We use Intelligent Document Processing (IDP) to turn pixels into structured JSON.

Edge Latency

We deploy lightweight models (Quantized YOLO/MobileNet) directly on edge devices (Jetson/Raspberry Pi) for millisecond inference.

Our Computer Vision Capabilities

Intelligent Document Processing (IDP)

Intelligent Document Processing (IDP)

  • Extract data from Invoices, IDs, and Handwritten forms.

  • Table extraction and key-value pair mapping.

  • Models: LayoutLMv3, Donut, Tesseract, Azure Form Recognizer.

Object Detection & Counting

Retail & Inventory Management.

  • Stock shelf monitoring and planogram compliance.
  • Warehouse inventory counting.
  • Vehicle detection and license plate recognition (ALPR).

Visual Quality Inspection

Manufacturing & Industry 4.0.

  • Surface defect detection (scratches, dents).
  • Assembly line verification.
  • Anomaly detection using Unsupervised Learning.

Facial Recognition & Identity

Security & KYC.

  • Liveness detection (anti-spoofing).
  • Facial matching for secure access.
  • Redaction/Blurring for GDPR privacy compliance.

Video Analytics & Surveillance

Safety & Security.

  • PPE detection (Hard hats/Vests).
  • Perimeter intrusion detection.
  • Crowd density and flow analysis.

Multimodal Vision (VLM)

Vision + Language.

  • “Visual QA” (Ask questions about an image).
  • Automated captioning and content moderation.
  • Models: GPT-4V, Gemini Pro Vision, LLaVA.

The Vision Toolkit

State-of-the-art models for every visual task.

Orchestration

PyTorch

PyTorch

TensorFlow

TensorFlow

OpenCV

Keras

Keras

Detection Models

YOLOv8

YOLOv8/v11

Detectron2

Detectron2

OCR & IDP

Tesseract

PaddleOCR

PaddleOCR

Amazon Textract

Edge Inference

NVIDIA TensorRT

Intel OpenVINO

Intel OpenVINO

ONNX Runtime

CoreML

CoreML

Hybrid Edge-Cloud Architecture

We process critical frames at the Edge and aggregate insights in the Cloud.
Diagram of Computer Vision Architecture.

Vision in Production: Real Results

Automated Defect Detection

Deployed a YOLO-based vision system on an assembly line, identifying surface defects with 99.2% accuracy at 30 frames per second.

ID Verification Engine

Built a custom OCR & Liveness Detection pipeline that reduced manual KYC review time by 85% while blocking synthetic fraud.

Shelf Monitoring System

Developed an edge-AI solution for a retail chain to monitor Planogram compliance, improving shelf availability by 15%.

Solutions Powered by Computer Vision

We apply visual intelligence to these specific business problems.

Vision Engineering Questions

We use Image Augmentation during training (simulating noise, blur, and darkness) and pre-processing filters (histogram equalization) during inference to ensure the model is robust against variable conditions.

Yes. We specialize in Model Quantization (converting models to INT8) and Pruning to make large models run efficiently on low-power devices like NVIDIA Jetson or Raspberry Pi.

Yes. We build Custom Datasets tailored to your specific product or defect. We handle the entire data annotation and labeling process to train a bespoke YOLO or R-CNN model.

Delivering AI Solutions Across the Globe

Your Business the Power of Sight

From pixels to actionable intelligence.
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