Computer Vision

AIGard builds computer vision systems for detection, inspection, OCR and image understanding. We deploy them in the cloud, on cameras and on edge devices.

The work typically covers:

• Object detection and tracking
• Visual inspection and defect detection
• OCR and document extraction
• Image segmentation and classification
• Integration with cameras and IoT devices
• Edge deployment and optimization

Computer Vision is usually the right investment in one or more of these situations:

• Manual visual inspection is slow or inconsistent
• Documents need to be read automatically
• You need to analyze images or video at scale
• Medical or industrial images need expert-level review support

On a 30-minute scoping call we confirm whether it fits your case and recommend a team shape and first milestones.

Often yes. AIGard assesses camera quality and placement, then deploys computer vision models to the cloud or to edge devices near your existing cameras.

The assessment comes first because image quality and positioning affect what a model can detect. If the existing cameras are not suitable for the task, we say so plainly. Deployment includes integration with cameras and IoT devices and optimization for edge hardware.

AIGard provides image annotation for computer vision projects, combining human and AI-assisted labeling with quality checks.

Labeled images are the basis for training detection, inspection, segmentation and classification models, so annotation is handled as part of the project. The quality checks are intended to catch labeling errors before they reach model training.

By treating the model as one part of a system. Production work covers data pipelines, evaluation, deployment, monitoring and retraining as well as the model itself.

We agree the success metric first, assess whether your data supports the use case, and build the surrounding engineering so the system keeps performing after launch.

Privacy and security controls for each AI use case are defined up front, and engineers work inside your environment under least-privilege access.

We agree which AI tools and models may access your code and data, including retention and training settings, with human approval for sensitive actions.

For Computer Vision, AIGard engineers typically work with PyTorch, TensorFlow, Python, NVIDIA CUDA, AWS and Google Cloud.

The stack is selected to fit the systems you already run, and engineers are matched to it before they join.

Computer Vision is available through any of AIGard’s three engagement models: staff augmentation, where engineers join your team; a dedicated team that runs the workstream; or software outsourcing, where AIGard delivers a defined project.

The choice depends on how much of the delivery you want to manage, and it can change later under the same agreement.

Engineers typically start within two to four weeks of the scoping call. The exact date depends on the roles, seniority and number of people required.

We confirm a realistic start date in writing before you commit, and you meet the proposed engineers before work begins.

AIGard engineers typically cost 30–50% less than the fully loaded cost of a comparable US-based hire, with no recruiting fees, benefits overhead or insurance costs on your side.

The figure for a specific engagement depends on the model, the roles, the seniority mix and the size of the team. We issue a written proposal after the scoping call, so the commercial terms are agreed before any work starts.

NDAs are signed before any access is given, and engineers work inside your environment under least-privilege access, with permissions limited to their responsibilities.

Access is reviewed as roles change and removed when work ends. Our practices align with ISO 27001, SOC 2, GDPR and HIPAA, with PII masking, encryption and audit logging built into data work. We review your access policies, data-handling needs and vendor requirements during scoping.

You do. Intellectual property assignment is written into every contract, in every engagement model.

That covers source code, designs, documentation, data, models and prompts produced for you. Third-party components and their licenses are identified, so ownership is clear at handover.