Liberty Defense Holdings, Ltd. (SCAN.V)
| Previous Close | 0.3700 |
| Open | 0.3700 |
| Bid | 0.3550 x 0 |
| Ask | 0.4000 x 0 |
| Day's Range | 0.3700 - 0.3850 |
| 52 Week Range | 0.3100 - 0.8400 |
| Volume | |
| Avg. Volume | 74,307 |
| Market Cap | 34.7M |
| Beta (5Y Monthly) | N/A |
| PE Ratio (TTM) | N/A |
| EPS (TTM) | -0.3280 |
| Earnings Date | N/A |
| Forward Dividend & Yield | N/A (N/A) |
| Ex-Dividend Date | N/A |
| 1y Target Est | N/A |
- CNW Group
Liberty to Attend Industry Conferences to Showcase HEXWAVE Technology
April 28, 2022 – Liberty Defense Holdings Ltd. ("Liberty" or the "Company") (TSXV: SCAN) (OTCQB: LDDFF) (FRANKFURT: LD2), a leading technology provider of threat detection solutions for concealed weapons, is pleased to announce that it will be attending industry leading events in June and July of this year in order to showcase its HEXWAVE™ walkthrough security detection technology to potential customers in target verticals including airports and sporting venues.
- GlobeNewswire
Technology Virtual Investor Conference Presentations Now Available for On-Demand Viewing
NEW YORK, April 08, 2022 (GLOBE NEWSWIRE) -- Virtual Investor Conferences, the leading proprietary investor conference series, today announced that the presentations from the April 7th Technology Virtual Investor Conference are now available for on-demand viewing. REGISTER OR LOGIN NOW AT: https://bit.ly/3ueTdYFThe company presentations will be available 24/7 for 90 days. Investors, advisors, and analysts may download investor materials from the company’s resource section. Companies are acceptin
- CNW Group
Liberty Defense Advances Proprietary AI Algorithm for its HEXWAVE Security Detection System
Liberty Defense Holdings Ltd. ("Liberty" or the "Company") (TSXV: SCAN) (OTCQB: LDDFF) (FRANKFURT: LD2), a leading technology provider of detection solutions for concealed weapons and threats, is pleased to announce that it has begun amassing thousands of images required to train its newly-developed Artificial Intelligence (AI) software algorithms to accurately identify metallic and non-metallic concealed weapons or threat objects on a person, clearing the path to meet and exceed robust detectio
