How a Startup Is Using Your Security Cameras to Measure Shipping Boxes

A San Francisco startup called Transload has built software that measures freight — boxes, pallets, and packages — using security cameras that warehouses and freight docks already have installed. No new cameras needed. The company came through Y Combinator's accelerator program in 2026 with a three-person team solving a problem that turns out to be surprisingly difficult across the logistics industry worldwide.

Why This Matters

Shipping companies charge based on how big a package is. To know that size — length, width, height, and overall volume — they need accurate measurements. Right now, most warehouses and freight docks do one of two things: workers measure by hand with tape measures (slow and inconsistent), or they install expensive dedicated measuring systems (often costing hundreds of thousands of dollars and covering only one location).

Neither works well. Hand measuring gets backed up during busy times and introduces errors. Dedicated systems are too costly for smaller companies, and they only cover the single spot where they're installed. The result is widespread guessing about package dimensions, which leads to wrong shipping charges, poor load planning, and disputes between shippers and carriers.

Transload's idea is straightforward: use cameras already there to solve the problem.

How It Works

The company applies computer vision — a form of artificial intelligence that interprets images — to video feeds from standard security cameras already mounted on warehouse and dock ceilings. The system measures freight as it moves through normal operations, without requiring workers to stop and do anything special, and without installing any new hardware.

The challenge is real, though. Security cameras are designed to monitor for theft and incidents, not to take precise measurements. They use wide-angle lenses, they record compressed video, the lighting changes constantly, and their positions are chosen for coverage rather than accuracy. Getting reliable three-dimensional measurements from that setup means solving for lens distortion, blocked views, and the lack of specialized depth-sensing equipment that purpose-built measuring systems use.

The software likely uses advanced mathematical techniques to estimate depth from a single camera image, or to combine views from multiple overlapping cameras, then uses known reference points to calibrate the scale. Getting measurements tight enough for billing — where even a few centimeters can change what you pay to ship — is a problem that has only become solvable now that AI vision technology has matured and the cost of running it has dropped enough to be practical.

The Team

Transload was founded by Nils Börner, Julius Scheel, and Jago Wahl-Schwentker. With three employees, the company is very early-stage. Y Combinator's support matters beyond just the initial funding — the accelerator's connections to logistics companies give the team access to potential customers that would take years to build otherwise, which is valuable when selling to large enterprise customers who move slowly.

Why This Pattern Keeps Repeating

This is not a new story in industrial technology. When factories first started using machine vision in the 1990s, companies built custom camera systems with special lighting and custom installation for each job. Over time, as cameras and software became cheaper and more general-purpose, the logic flipped. The question changed from "where do we install cameras?" to "what else can we do with cameras we already have?"

Transload is applying the same logic to warehouses and freight docks. Most commercial buildings already have security cameras mounted everywhere, and those cameras mostly just sit there recording to storage. Using them as a measurement tool is smart reuse of existing infrastructure. Other startups have tried similar ideas in other industries — tracking retail inventory, checking manufacturing quality — so using cameras for freight measurement is a natural next step.

The Business Opportunity

Shipping companies now charge based on package size, not just weight. This means shippers who don't measure accurately get hit with extra charges, while shipping companies miss out on revenue when boxes are measured wrong. The industry's estimates suggest billions of dollars annually get lost to mismeasurement.

Software like Transload's that works with existing cameras solves a major adoption problem. Dedicated measuring systems require capital investment and installation. A software-only approach using existing cameras has minimal switching cost and minimal disruption to operations. If the accuracy is good enough in real-world conditions, customers have far less reason to stick with the old way.

What Comes Next

The real tests ahead are: Does the measurement accuracy hold up when exposed to the chaos of an actual working dock. How does the software integrate with the shipping management systems that companies already use. And can the team convince early customers to take the risk on a three-person startup.

It is important to note that computer vision software often performs well in controlled test environments but runs into problems in the messy real world. Dock doors open and close, lighting shifts, forklifts block views, and every package looks different. Whether Transload can handle all this variation, and what kinds of accuracy guarantees the company offers in real contracts, will show whether the technology actually works at scale.

The longer trend, though, points in one direction. Getting useful information from infrastructure already in place — rather than installing new sensors and equipment — is becoming more common in industrial software. Transload is a small, early bet on one specific version of that shift. Whether this team becomes the dominant player, or whether a bigger company eventually absorbs the idea, the underlying direction is sound.

---

Sources: Y Combinator — Transload company profile; Y Combinator — San Francisco Bay Area companies.