QUBO Smart Rim Lock ULTRA from Hero Group | 3-Way Access – Pincode, RFID Access Card, BLE Mobile App |Remote Access Sharing via OTP |Auto Locking |High Strength Bolt | (Copper)
Price: ₹25,990 - ₹8,990.00
(as of Sep 03, 2024 04:45:09 UTC – Details)
Product Description
Qubo Smart Rim Lock ULTRA from HERO Group
3-Way Smart Access
Grant Access Anytime, Anywhere
Built for Added Layer of Security
MADE FOR INDIA WITH THE TRUST OF HERO GROUP
3- WAY UNLOCKING: Unlock using Passcode, RFID Access card & Bluetooth Mobile App
Get 4 RFID Access Cards. Keep a tab with Activity logs via BLE Qubo Mobile App. Use Pincode with decoy digits to keep your code spy safe
Share Access OTP via WhastApp, SMS or Email for Unexpected Guests/housekeepers : Give Permanent, One time or timed Access
Automatic Locking : Qubo Rim Lock ULTRA automatically locks the door after checking it is properly closed. (Manual operation setting is also available)
Two-Layer Authentication: Add Double Security that requires a combination of 2 access methods to unlock your door
Smart Rim lock ULTRA comes with Voice Guidance for convenient access along with Silent mode option
Get Low Battery Alerts on Qubo Mobile App & Voice prompt from the lock. USB charging enables access in emergency situations in case the battery is exhausted
DOOR REQUIREMENTS: Compatible with wooden doors of 30mm to 50 mm thickness
MATERIAL: Aerospace-grade alloy body, Color: Copper
Cities with Free Installation Service Available- Delhi, Noida, Gurugram, Faridabad, Chandigarh, Mumbai, Pune, Bangalore, Hyderabad, Chennai, Visakhapatnam, Ahmedabad, Kolkata, Guwahati, Ludhaina, Jaipur, Lucknow, Kanpur, Dehradun, Mangalore, Mysore, Bhopal, Surat & Indore
Customers say
Customers like the quality, ease of use, value, appearance and portability of the lock. For example, they mention it works well, is convenient and easy to use through PIN and RFID. They appreciate the pocket friendly design and that it can fit in tight spaces. Customers are also impressed with the tech support and features.
AI-generated from the text of customer reviews
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