What You Get
Our computer vision development team builds intelligent solutions using advanced AI models, deep learning, and image processing technologies. From object detection to automated visual inspection, we develop scalable solutions tailored to your business needs.
DigiLawyer needed an AI assistant that could answer rights questions with live legal context, including for users in tier 2 and tier 3 cities.
Over 200 daily user queries in the first month, with legal research time reduced from hours to seconds.
Most computer vision models work in a demo but fail on the real floor. Our computer vision development services deliver image recognition, object detection, OCR, and video analytics systems that stay accurate in production.
From first dataset to live monitoring, we build computer vision systems that work in real conditions, connect to your existing tools, and keep their accuracy over time.
Cameras, documents, and floor conditions differ by domain. We shape models and integrations around how your industry actually captures visual work.
You get a six-step path from the visual problem to monitored production, with clear gates so spend follows proven accuracy.
Start with a scoped pilot, expand to a full vision build, or embed a dedicated team. Pricing stays Custom until we see your data and cameras.
These published results show how BigOhTech ships AI that teams use. They are not labeled as computer vision products.
Generic vision APIs and in-house-only hires often stall after a demo. Compare what you get when production accuracy, integration, and monitoring matter.
Different problems need different vision systems. Here are the computer vision solutions businesses ask for most.
Best For: Manufacturing, packaging, and electronics teams.
Best For: Retail, logistics, warehouses, and security teams.
Best For: Finance, insurance, logistics, and healthcare operations.
Best For: Ecommerce, retail, and media teams with large image libraries.
Best For: Offices, campuses, factories, and secure facilities.
Best For: Construction, manufacturing, energy, and warehouse teams.
Stack choice follows your cameras, latency budget, and cloud standards. We use proven tools across vision, OCR, and edge deployment.
Cloud and platform partners help you train, serve, and scale vision workloads without locking every decision to one vendor.
Most vision systems stop at detection. Someone still has to read the alert, decide, and act. We build hybrid systems that pair computer vision models with AI agents, so what the camera sees turns into action without waiting on manual review.
These capabilities combine so your product can see, read, and act on visual inputs with thresholds your operators accept.
Most single-use-case projects start under $10K, and multi-task or multi-camera setups go up to around $25K. Larger multi-site builds are priced custom after we review your data, cameras, and integrations.
Computer vision projects usually take a 2 to 3 weeks for a single focused use case and 3 to 5 weeks for larger, multi-camera setups. Your data readiness and integrations decide where you land, and we share a timeline once the scope is clear.
Yes, you can begin with one use case, like a single inspection point or one document type. Our Starter engagement is built for this, with a focused scope and a short delivery time. Once you see it working on your own data, expanding to more cameras or tasks is easy.
Most projects reach 85 to 95% detection accuracy, depending on your image quality, lighting, and the task. We agree on a target upfront and test the model on your own images before launch. After go-live, we keep monitoring accuracy and retrain when cameras, products, or lighting change, so results stay
That’s very common and not a blocker. We review what you have, then clean it, label it, and fill the gaps with fresh captures before training starts. Quality checks on the labels keep the model learning from the right examples.
Often yes, so you may not need to buy anything new. We test your existing footage first to check if the angle, resolution, and lighting are good enough. If a camera falls short, we tell you exactly what to change, like a better angle or lens.
Edge works best when you need instant results or want sensitive data to stay on site. Cloud suits easy scaling across multiple locations. We help you pick based on speed, privacy, and cost, and a mix of both is possible too.
Share your project goals, timeline, and technical requirements. We'll review your requirements and send a tailored solution with an indicative estimate within 48 business hours.
