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
TensorFlow
OpenCV
Keras
Detection Models
YOLOv8/v11
Detectron2
OCR & IDP
Tesseract
PaddleOCR
Amazon Textract
Edge Inference
NVIDIA TensorRT
Intel OpenVINO
ONNX Runtime
CoreML
Hybrid Edge Cloud Architecture
We process critical frames at the Edge and aggregate insights in the Cloud.
Vision Engineering Questions
How do you handle poor lighting or low-quality images?
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.
Do you support "Edge AI" deployment?
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.
Can you detect custom objects?
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.
