Arrive AI updated its devices with harness time-of-flight (TOF) sensors to capture real-time data, cut costs and optimize delivery capacity.
"Time is money, and even small gains in logistics efficiency add up fast," says Arrive AI CEO Dan O'Toole. "This is another way we're improving the product and redefining the delivery experience for everyone."
Key takeaways:
· By incorporating TOF sensors, Arrive AI aims to tackle one of the biggest bottlenecks in the delivery industry: inefficient pickups.
· Currently, couriers - human or autonomous - servicing large mailboxes at strip malls or office complexes follow an inefficient process. Each stop requires physically opening boxes to check for outgoing packages. With TOF-equipped Arrive Points, couriers will know in advance which mailboxes hold items and how much truck space is required.
· Beyond logistics, the data can highlight courier efficiency, empowering users to choose the most reliable providers for their delivery or return needs.
· The TOF sensors will provide low-resolution data to be analyzed by edge AI. This eliminates the need for bulky cameras and processors within the unit, freeing up more space inside Arrive Points for packages.
· In addition to the basic design and temperature control element, Arrive AI secured U.S. patents that cover drone delivery management and tethering, anti-theft mechanisms and intelligent chain-of-custody control.
