# Depth from a single camera · Depth · Dscvry > How the AI turns ordinary images into depth: volumes, distances, clearances and progress, with every figure keeping the surface it was measured from. Source: https://dscvryai.com/technology/sense/depth/ # Depth from a single camera. How far. How big. How much is left. What the AI can measure · How it works · Wherever the work is. Hosted Private cloud On-premise Edge Air-gapped ## A photo is flat. The work isn't. Cameras and drones capture a site every day, but a picture can't tell you how much is in a pile, how close a person is to a moving machine, or whether a load fits under a beam. ### Measured by survey. Volumes and distances need a survey crew, so they are checked rarely. ### Guessed in between. Between surveys, people estimate from experience and truck counts. ### Safety distances assumed. Clearance and separation rules are written down, but rarely measured while the work happens. ## What the AI can measure. How much is actually there. ### Volume Stockpiles, bins and heaps measured from a drone flight or a fixed camera, and compared with what the books say should be there. See it in site measurement → https://dscvryai.com/use-cases/site-measurement/ How close is too close. ### Distance & separation Distances between people and machines measured as work happens, against the separation your procedures require. See it in safety checks → https://dscvryai.com/use-cases/safety-checks/ Will it fit under there. ### Clearance Load heights and overhead clearances checked at racks, doors and bridges before the vehicle gets there. See it in safety checks → https://dscvryai.com/use-cases/safety-checks/ How far the work has come. ### Progress The surface as built compared with the design, section by section: what's been cut, what's been filled and what's left. See it in site measurement → https://dscvryai.com/use-cases/site-measurement/ ## One image in. A measurement out. The model does one hard job: working out how far away each part of the image is. Everything after that is geometry and rules, which is cheap, fast and checkable. Images in Sense Drone surveys and the fixed cameras you already have. Depth estimation Specialized model Every pixel given a distance. Surface & scale Rules & code Ground markers and known sizes fix the scale. Measure Rules & code Volumes, distances and clearances computed. Compare Check → Operate Against book stock, limits and design. ## Down 1,420 m³. Sent to the site manager. Survey SV-0714 · stockpile SP-3. Measured, not assumed. Every volume keeps the surface it came from. **Captured.** 1,860 photos from the morning flight at 4 cm ground resolution. **Built.** Depth and surface model; scale fixed by six ground markers. **Measured.** 12,480 m³, from contours at 0.5 m intervals. **Compared.** Book stock is 13,900 m³: a variance of −10.2%. Illustrative example. Site, survey and figures are fictional. ## Built for the site. Measurement is only useful if it happens often and can be checked. - ### Uses the cameras you have. Works from the drone surveys and fixed cameras you already run. [Site Measurement](https://dscvryai.com/use-cases/site-measurement/) - ### Shows its workings. Every figure comes with the surface it was measured from and the calculation. [How Check works](https://dscvryai.com/technology/check/) - ### Runs on site. Processing can run on a site server, with results sent when there's a connection. [Deployment options](https://dscvryai.com/deployment/) ## Where it shows up. Problems that need a measurement. What here isn’t safe? ### Safety checks Flag what’s unsafe or incomplete. See how → https://dscvryai.com/use-cases/safety-checks/ What runs out before the next delivery? ### Stock shortages Anticipate shortages before they become a problem. See how → https://dscvryai.com/use-cases/stock-shortages/ Is this part defective? ### Defect inspection Catch defects on the line, not at the customer. See how → https://dscvryai.com/use-cases/defect-inspection/ ## Where it runs. The AI goes to where the work is, from hosted to air-gapped. ### A managed environment. Start with a hosted service when speed of adoption and managed operations are priorities. Agree data handling, access and service requirements as part of the engagement. Discuss hosted · ## The other capabilities. Each one is tested on your own work before you rely on it. ### Sense It sees, hears and reads the work as it happens. Explore Sense → https://dscvryai.com/technology/sense/ ### Understand From piles of paper to records you can use. Explore Understand → https://dscvryai.com/technology/understand/ ### Check Every line compared. Only the gaps reach you. Explore Check → https://dscvryai.com/technology/check/ ### Investigate Follow the evidence across systems. Find out what happened, and why. Explore Investigate → https://dscvryai.com/technology/investigate/ ### Anticipate Know what comes next, and plan for it. Explore Anticipate → https://dscvryai.com/technology/anticipate/ ### Operate The next step, taken. The reason, recorded. Explore Operate → https://dscvryai.com/technology/operate/ ## Bring us the work where wrong is expensive. Start with the operational problem. We’ll work out the data, models and agents it needs, and where it should run. [Talk to us →](https://dscvryai.com/contact/) **London**Discovery AI Limited · United Kingdom **Hyderabad**ReDscvry Technology Private Limited · India **Chennai**ReDscvry Technology Private Limited · India