China RVM 2000 - Reverse Vending Machine China RVM 2000 - for outdoor China RVM 2000 - for outdoor

China RVM 2000 — Reverse Vending Machine (with - For outdoor)

Compact, high-throughput RVM for PET bottles, cans . DRS-ready with flexible payout and coupon integration — ideal for supermarkets, malls and recycling hubs.
DRS Compliant OEM / ODM Remote Monitoring CE
ModelChina RVM 2000 (KG-RVM-2000)
ThroughputUp to 600 items/hour
Accepted MaterialsPET bottles, Aluminum cans
PowerAC 110-240V, 50/60Hz
Dimensions1050 x 950 x 2050 mm
Weight~220 kg
Connectivity4G / Ethernet / Wi-Fi
PaymentCoupon, Token, Card, Mobile Wallet
StorageInternal bin up to 250L
Operating Temp-30°C to 60°C
Warranty1 year (extendable)

Key Features

1 High Accuracy Recognition
Camera + sensor fusion for >98% material recognition and barcode parsing.
2 Modular Bin System
Replaceable storage modules for fast maintenance and easy transport.
3 Flexible Incentives
Voucher/coupon (Prices may increase R&D for your API), cash-back via mobile, loyalty integration via API.
4 Crusher For Flatten Bottle
A powerful flattener can flatten bottles, reducing their size by up to a quarter, thus creating more storage space.
5 Barcode database as whitelist
By using the barcode database whitelist, we can determine what kind of material the bottle is made of. .
6 Yolo5 Visual Processing
Yolo5 uses AI vision to determine whether something is recyclable or unacceptable..
7 sorting system
It features a sorting system. Aluminum cans and plastic bottles are separated into separate recycling bins.

How it works

  1. User inserts bottle or can into the inlet.
  2. RVM scans barcode and inspects material via camera/sensors.
  3. System confirms acceptance and sorts into internal bin.
  4. User receives coupon / credit via chosen payout method.

Features

The difference between outdoor and indoor units

We have both outdoor and indoor versions; the outdoor version is more expensive.

Can you customize and design branding and UI?

Yes — OEM/ODM services include custom wrap, UI language, and integration with local DRS systems.