Computer Vision

Computer VisionSolution

Turn images and video into useful operational signals. We build vision systems for inspection, detection, recognition, and visual search with performance measured in real conditions.

Visual DetectionSignals
Quality ChecksInspection
Real-World TestingReliability
Computer Vision illustration

Our Services

What Exactly Do We Provide?

Object Detection

Locate relevant objects or events in images and video for operational workflows.

Visual Quality Inspection

Spot defects and inconsistencies to support faster, more consistent review.

Image Classification

Sort visual content into useful categories with confidence-aware results.

OCR & Document Capture

Read and structure information from photos, forms, labels, and scanned documents.

Visual Search

Help users find similar products, assets, or images from a visual reference.

Edge Vision

Deploy selected models close to cameras or devices when latency and connectivity matter.

DC Digital Code

Computer Vision Tech Stack

Vision technologies selected around image quality, inference speed, and real-world operating conditions.

Vision Models

PyTorchOpenCVYOLOTransformers

Image Data

CVATRoboflowPillowNumPy

Inference

ONNXTensorRTFastAPIDocker

Infrastructure

Cloud StoragePostgreSQLKubernetesMonitoring

Our Process

Develop Your Solution with Digital Code

A clear, collaborative journey from strategy to secure launch and long-term growth.

01

Define the Use Case phase

Agree on the visual task, environment, and acceptable error rates.

1
02

Collect & Label phase

Gather representative images and apply a consistent labelling approach.

2
03

Prototype phase

Build and compare a baseline model using real examples.

3
04

Evaluate in Context phase

Test lighting, angles, devices, and edge cases outside the lab.

4
05

Deploy phase

Integrate inference into the application, camera workflow, or edge device.

5
06

Improve Continuously phase

Review misses and drift, then refine data and models.

6