AI and Computer Vision Are Reshaping the Last Mile
On Spatial Perspectives, host Dan Cui will have a one-on-one dialog with innovators and thought leaders in the growing Spatial Reality, or Spatial Computing, market. Cui will invite guests who can discuss the real world use cases of the technology and how it could benefit mankind while exploring any drawbacks and how they might be mitigated. Wireless location…
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On Spatial Perspectives, host Dan Cui will have a one-on-one dialog with innovators and thought leaders in the growing Spatial Reality, or Spatial Computing, market. Cui will invite guests who can discuss the real world use cases of the technology and how it could benefit mankind while exploring any drawbacks and how they might be mitigated.
Wireless location tracking is working its way into how multiple industries operate. On this week’s episode of Spatial Perspectives, host Dan Cui is joined by Ned Hill, CEO of Position Imaging, a tracking technology company.
Position Imaging began in the video games business creating virtual reality and augmented reality software platforms. As the company continued to innovate, it pivoted from games and focused its radio tracking technology on logistics. “We’re a software company with a hardware problem,” Hill said. The AI platform, the algorithms, and the user interface are combined with hardware from the company’s partners.
The company’s unique AI based computer vision solution called Amoeba Computer Vision can track people, packages, vehicles, bringing greater visibility and efficiency to the last mile of delivery. Using the 3D wifi technology they developed, this solution is the most accurate tracking technology in the world.
Currently, Position Imaging is implementing this technology in multi-residential buildings and facilities so that the location, origin, and destination of every package can be viewed at any time through an AR interface. Everything is shipping is dynamic, but over time the AI platform will learn.
“We’re a software company with a hardware problem” – Ned Hill
The last mile of getting products and packages to customers has multiple pain points and bottlenecks. For instance, with Amoeba Computer Vision a delivery driver has the data to know exactly where in the truck every package is so they don’t have to hunt for them.
Position Imaging plans to expand into retail and backroom inventory, bringing efficiencies to the industry that are needed more than ever as customer behavior shifts. More and more shopping is being done online with delivery, in-store pickup, and in-store returns as part of the system. These present new inventory management issues and location tracking technology is the forward-looking solution.
To learn more about Position Imaging, see videos demonstrating the technology, and delve into the details of location tracking, tune into this enlightening conversation on Spatial Perspectives with Dan Cui.
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About the author
Ned Hill founded Position Imaging in 2006 after an earlier venture in wireless dog-fence technology. His interest in tracking began with a dog that kept escaping; it later led to Smart Package Room and iPickup, systems that help people collect deliveries in residential buildings and retail settings. An economics graduate, Ned says he had to stop leaving the technical discussions to others and learn more of how his products worked. In his interviews, Ned connects product decisions with the realities of building a company. Discussing package collection, he explains why rising online sales required a different approach to fulfillment. In a financing conversation with David Byrne, he gets into the limits of venture debt and the role of intellectual property and future cash flow. His 2023 award appearance recognizes Position Imaging’s team and its move into multifamily package management. Ned is willing to revisit his own assumptions. Recalling a Tractor Supply pilot, he says he expected pickup at the back of the store to prompt more shopping. The retailer chose the front; customers valued the easier collection, and some used the time they saved to browse. It is a concrete example of the customer behavior he looks for when testing a product.
