Computer vision
We implement computer vision: automatic analysis of images and video — object recognition, classifying products by photo, quality inspection, content moderation, image search. The machine 'sees' and processes visuals faster than a human at scale. Honestly upfront: computer vision is NOT one hundred percent accurate — it errs (false positives and misses), and quality strongly depends on shooting conditions (light, angle, quality) and on the data the model was trained on; in critical and legally/ethically sensitive tasks (e.g. face recognition) human review and privacy/legal compliance are needed.
Computer vision — overview
Computer vision is applying AI to analyze images and video for your task: object recognition and counting, classification (e.g. products by photo), defect/quality detection, moderation of uploaded content, similar-image search, reading text from images (OCR). We pick ready models or fine-tune for your specifics. Honestly about accuracy, this is key: computer vision is NOT perfect and works probabilistically. There are false positives (saw what is not there) and misses (did not notice what was needed). Accuracy depends on conditions: lighting, angle, image quality and resolution, occlusions, atypical cases (edge cases), and — critically — on how similar the training data is to your real data. Promising '100% accuracy' is dishonest; we honestly estimate achievable accuracy and build in human review where the cost of error is high. Honestly about data: model quality is determined by data — for a specific task you often need to collect and label your examples (this is part of the work and time), otherwise on your real cases the model will err. Honestly about ethics and law, this matters: tasks like face recognition or biometrics are legally and ethically sensitive (privacy, consent, legal restrictions). We honestly raise these questions rather than deploy 'surveillance' thoughtlessly. Honestly about the effect: it automates routine visual analysis at scale and speeds up processes but does not replace a human in disputed and critical decisions. Honestly about cost: image/video processing is compute resources and costs, the more the larger the flow. Honestly about access: image examples and a task description are needed. An important boundary: this is image analysis; image generation — 876; OCR/text recognition from photos — a special case. Picture this: instead of 'manually sorting through thousands of photos' — automatic analysis with human review for the important. The base price starts from 60,000 ₽ (depends on the task and data).
Problems we solve
- Thousands of images/frames need analyzing by hand.
- Photo classification/moderation takes a lot of people's time.
- Defects or needed objects are missed by a human at scale.
- No image search or reading text from images.
What's included in the Computer vision service
- Picking/fine-tuning models for your task
- Recognition, classification, detection, moderation, OCR, image search
- Collecting and labeling your data (where needed)
- An honest estimate of achievable accuracy and edge cases
- Human review in critical decisions
- Accounting for privacy/law (especially faces/biometrics)
- Estimating compute costs for the flow
- Handover and review with you
What you get
- Automatic image/video analysis at scale
- Faster classification/moderation/quality control
- Realistic accuracy (not '100%'; verify the critical)
- Ethical and legal deployment (privacy accounted for)
How the work goes: steps
- We define the task, collect and label data; assess conditions
- We pick/fine-tune the model, measure accuracy on your cases
- We deploy with human review, honestly set boundaries with you
Why PDV Expert
- Fixed price and timeline — no surprises on the invoice.
- Report and recommendations in plain language — clear without a technical background.
- In touch at every step and answering questions about the result.
FAQ
Will computer vision be 100% accurate?
No, and that is honest: it works probabilistically, there are false positives and misses. Accuracy depends on shooting conditions (light, angle, quality) and on how similar the training data is to your real data. We honestly estimate achievable accuracy and build in human review where the cost of error is high, rather than promise infallibility.
Why is my data needed for training?
Because model quality is determined by data. A ready model may work poorly on your specifics if it has not seen similar examples. You often need to collect and label your images — this is part of the work and time, but it is exactly what gives accuracy on your real cases. Without proper data even a good model will err — we honestly warn about this.
Can you do face recognition/biometrics?
Technically often yes, but it is legally and ethically sensitive, and we honestly raise this. Face recognition and biometrics involve privacy, consent and legal restrictions. We do not deploy 'surveillance' thoughtlessly: we discuss the legal framework, consent and necessity, and build in human review. Responsible deployment matters more than just 'doing it because we can'.
About the provider
The «Computer vision» service is provided by PDV Expert — a team specialising in «Site quality». We work under contract and deliver a written report with recommendations.