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Tally

Mobile-RobotsUnited StatesUnited States已發布
Tally
比較
行業:
零售Grocery, warehouse clubs, farm supply
用途:
檢查庫存監測Shelf auditing: out-of-stocks, price-tag errors, misplaced products
價格:
尚未公布
發布年份:
2017

描述

Tally是Simbe的Mobile-Robots。 面向檢查、庫存、監測設計。 關鍵數據:續航 720 分鐘、2017 年發布。

Tally is Simbe's autonomous shelf-scanning robot for retail stores. It travels the aisles several times a day, and overnight, photographing every shelf and using Simbe Vision computer vision to find out-of-stock and low-stock items, wrong or missing price tags and misplaced products. Store associates get prioritised task lists on the Simbe Mobile App, and managers get dashboards and high-resolution shelf images. Simbe built the first prototype in 2015, ran Tally 1.0 internally in 2016, and made Schnuck Markets its first customer in 2017 with Tally 2.0; Tally 2.6 (2019) added height and cameras for top shelves, Tally 3.0 (2020) improved vision, durability and on-board processing, and Tally 4.0 is the current model. Schnucks went chain-wide in 2021, followed by BJ's Wholesale Club and Wakefern's ShopRite stores. The current Tally carries over a dozen high-resolution cameras with autofocus plus 3D depth and 360-degree fisheye cameras, reaching upper steel, bunkers and recessed shelves, and processes images on an NVIDIA edge computer. It localises itself to within 1-2 inches in a 150,000 sq ft store, turns in place in tight aisles, moves at under a third of walking speed, and runs up to 12 hours per charge. An optional RFID module counts tagged items, reading up to 40 ft. Retailers subscribe to it as a service rather than buying it.

功能特色

  • Autonomous shelf scanning several times a day, including overnight
  • Detects out-of-stocks, low stock, price-tag errors and misplaced products
  • 99% shelf-label identification accuracy (Simbe)
  • Over a dozen high-resolution cameras with autofocus
  • no flash needed
  • 3D depth and 360-degree fisheye cameras for upper steel, bunkers and recessed shelves
  • NVIDIA edge computing for on-robot processing
  • Localises to within 1-2 inches in a 150,000 sq ft store
  • Turn-in-place navigation for tight aisles
  • under a third of walking speed
  • Up to 12 hours per charge with fast charging (Tally 4.0)
  • Low centre of gravity, tip-resistant rounded design
  • Optional Tally RFID: 100,000+ tags per run, reads up to 40 ft
  • Connects over store Wi-Fi
  • data encrypted in transit and at rest
  • Task lists in the Simbe Mobile App
  • dashboards and shelf images for managers
  • Sold as Robotics-as-a-Service

技術規格

已驗證
移動能力
移動類型帶輪的
作業環境Indoor retail stores: grocery, warehouse clubs, apparel, farm supply
電源與續航
續航時間Up to 12 hours per charge (Tally 4.0)
充電類型Autonomous docking
感知與計算
感測器Over a dozen high-resolution cameras with autofocus, 3D depth cameras, 360-degree fisheye cameras, Navigation and obstacle sensors, Optional RFID antennas (up to 40 ft read range)
連線方式Store Wi-Fi to Simbe's Store Intelligence cloud platform; data encrypted in transit and at rest
軟體 / AISimbe Vision computer vision; Simbe Store Intelligence platform and Simbe Mobile App for task lists
來源:製造商官網來源:第三方暫無來源來源狀態基於該機器人已登記的資料來源。

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常見問題

What is the Tally?

Tally is Simbe's autonomous shelf-scanning robot for retail stores. It travels the aisles several times a day, and overnight, photographing every shelf and using Simbe Vision computer vision to find out-of-stock and low-stock items, wrong or missing price tags and misplaced products.

Who makes the Tally?

The Tally is made by Simbe, a robotics company based in United States.

How much does the Tally cost?

Simbe has not publicly announced pricing for the Tally. You can enquire through RobotAIGeek for current pricing.

What is the Tally used for?

The Tally is designed for 檢查, 庫存, 監測, and shelf auditing: out-of-stocks, price-tag errors, misplaced products. It is used in 零售 and grocery, warehouse clubs, farm supply settings.

What is the battery life of the Tally?

The Tally runs for Up to 12 hours per charge (Tally 4.0) on a charge.

When was the Tally released?

The Tally was released in 2017.

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