DETECK DT700 Bank Grade Mixed Denomination Money Counter with Reject Pocket
The DETECK DT700 is the perfect solution for a accurate and reliable mixed bill counter, sorter and reader with advanced counterfeit detection. Accurate Mixed Currency Counting - Most counters can't handle mixed bills they only give you a note count and throw constant errors. The DT700 is built to count and sort mixed denominations (USD, CAD, MXN, EUR, GBP) with 100% accuracy. Pull up a full on-screen report with grand total, note quantity, and value by denomination. Pairs easily with a DETECK printer (not included). We value your priorities Advanced Counterfeit Protection – Handling large volumes of cash? The DT700 scans every note for authenticity using a full suite of detection sensors UV, MG, IR, MT, 2CIS, and serial number recognition. Bank-level security built in, so you're never caught off guard by a rejected bill at deposit. Operate with confidence Built for Speed and Continuous Operation – A high-capacity hopper and dedicated reject pocket keep your workflow moving as suspicious notes are automatically diverted so counting never has to stop. Sort by denomination, batch, face, or orientation. Just plug it in and go. Worth the money Industry-Leading – Powered by a heavy-duty, roller friction system and widened impeller, the DT700 can count up to 1200 notes per minute without jamming or misfeeds. The high-power motor is built for reliable, round-the-clock performance. It’s never been easier 100% Satisfaction or Money Back - DETECK is a United States based company, we take pride in designing & delivering only premium money machine counter for North American Businesses; this product is backed by a 1 year full warranty against defects & lifetime tech support. We have a dedicated United States based support team to answer all your questions. Take advantage of it
Specifications
- Color
- Black, Gray
Variants (2)
- Black — 850.00 USD — In stock
- Gray — 850.00 USD — In stock
How AI sees this product
The more complete this product's details, the more confidently AI assistants can understand and recommend it.