Computer Vision
Machines That See.
What We Do
A human inspector looking at a production line can check hundreds of items per hour. A computer vision system checks thousands per second and does not fatigue, does not miss the third shift, and does not vary in performance based on how much sleep it got. Computer vision converts your cameras and image data into automated decision systems.
We build quality inspection systems that catch defects your team currently misses, inventory counting systems that replace manual cycle counts, security monitoring that distinguishes vehicles from people from packages, and visual search tools that let customers find products by uploading a photo. The business problem determines the solution. The technology follows.
How We Work
We start by defining the visual task precisely: what does the system need to detect, classify, or measure, and what decision or action should follow from each result. That definition shapes the data collection plan. We work with you to gather representative training images from your actual environment, covering the range of conditions the model will encounter in production: different lighting, angles, backgrounds, and edge cases.
Labeling, model training, and iterative evaluation happen in parallel. We test against your accuracy requirements before deployment and establish performance baselines. Deployed models are monitored for accuracy drift over time, with retraining triggered when performance falls below threshold.
Why Running Start Digital
Pricing
From $15,000
Typical turnaround: 8-16 weeks
Includes
Frequently Asked Questions
Manufacturing defect detection, retail inventory monitoring, security and access control, document digitization, agricultural monitoring, and medical image analysis. Any task that requires visual inspection can be automated.
Not always. Many solutions work with standard IP cameras or smartphone images. High-precision applications may require specific lighting or camera specifications. We assess your setup during discovery.
Production models typically achieve 95 to 99 percent accuracy for defect detection, often exceeding human inspector consistency. Accuracy depends on defect types and image quality.
Yes. We deploy models that process video feeds in real time for applications like production line inspection, security monitoring, and traffic analysis.
Data collection and labeling takes 2 to 4 weeks depending on volume. Model training and validation takes another 3 to 5 weeks. Integration and deployment add 2 to 4 weeks. Total timelines range from 2 to 4 months.
We help you design a data collection process from scratch. Camera placement, capture protocols, and labeling workflows are established during discovery. We can begin training once sufficient data has been collected.
Yes. Many quality inspection and visual search applications work with smartphone cameras. We optimize the model for the image quality and conditions your team actually uses.
Ready to get started?
Start with a $7,500 deposit. Balance due on delivery.