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Visual AI

Computer Vision & Visual Intelligence

Custom visual perception systems, automated image processing, and real-time video analytics tailored to operational workflows.

CORE DELIVERABLES
  • Object Detection, Classification & Tracking (YOLO / PyTorch)
  • Automated Visual Inspection & Specimen Defect Detection
  • Document OCR & Structured Layout Extraction
  • Real-Time Video Stream Analytics (OpenCV / FFmpeg / MediaMTX)

Overview

We design and implement custom visual perception and image processing systems tailored directly to proprietary operational workflows and industrial environments. We build pipelines that bridge cutting-edge deep learning vision models with real-world, high-throughput execution.


Core Technical Capabilities

1. Object Detection, Classification & Tracking

Training and deploying state-of-the-art vision models (YOLO, Detectron2, PyTorch) for real-time asset identification, counting, and spatial tracking across challenging visual conditions (variable lighting, occlusions, complex backgrounds).

2. Automated Visual Quality Inspection

Defect detection, anomaly identification, and precision visual measurement for laboratory specimens, manufacturing production lines, and physical materials. We build automated verification pipelines that replace error-prone manual inspection.

3. Document Intelligence & OCR

Optical character recognition, tabular data parsing, and structured extraction from scanned documents, forms, laboratory assay printouts, and clinical reports. We transform unstructured visual documents into typed relational schemas.

4. Camera Stream Analytics & Video Pipelines

Ingestion, frame-level analysis, and real-time alerts from RTSP/IP camera streams using OpenCV, FFmpeg, and low-latency streaming infrastructure (MediaMTX).

5. Edge Vision Optimization

Compiling, quantizing, and optimizing vision pipelines with TensorFlow Lite, ONNX Runtime, and TensorRT for resource-constrained edge devices (Raspberry Pi, NVIDIA Jetson) with minimal inference latency.


Technical Tooling & Stack

  • Frameworks & Models: PyTorch, OpenCV, YOLO, Detectron2, torchvision, Albumentations
  • Runtime & Compilers: ONNX Runtime, TensorFlow Lite, TensorRT, CUDA
  • Video & Telemetry: FFmpeg, MediaMTX, RTSP/WebRTC, GStreamer
  • Deployment: Docker, Embedded Linux, NVIDIA Jetson, Edge SBCs

Inquire About Vision Engineering

Have a visual inspection, object detection, or camera analytics problem?

Discuss Your Project or reach our engineering team directly at contact@antardata.com.

Ready to implement this capability?

Connect directly with our engineering team to scope technical requirements, benchmarks, and deployment timelines.