1 00:00:00,200 --> 00:00:03,360 Speaker 1: You know this company that's helped retailers much more easily 2 00:00:03,400 --> 00:00:06,800 Speaker 1: report shoplifting incidents to police. It's now going one step further. 3 00:00:06,840 --> 00:00:10,520 Speaker 1: It's trialing live facial recognition technology. The new tech will 4 00:00:10,560 --> 00:00:12,600 Speaker 1: alert retailers when someone walks in the door who has 5 00:00:12,600 --> 00:00:16,000 Speaker 1: previously been flagged for serious offending. Nick McDonald is aura's 6 00:00:16,040 --> 00:00:17,560 Speaker 1: global head of risk and with us. 7 00:00:17,480 --> 00:00:20,760 Speaker 2: Hey, Nick, Gota, Heather, how are you very well? 8 00:00:20,760 --> 00:00:22,119 Speaker 1: Thank you? So how does this work? Is it the 9 00:00:22,120 --> 00:00:25,200 Speaker 1: case the shoplifter walks in CCTV picks up the face, 10 00:00:25,520 --> 00:00:27,920 Speaker 1: your tech alerts the shop that someone dodgy is there. 11 00:00:29,200 --> 00:00:33,199 Speaker 2: Yeah, essentially, that's right. So the alert that's sent to 12 00:00:33,280 --> 00:00:37,760 Speaker 2: the frontline shop worker is based on the previous behavior 13 00:00:37,760 --> 00:00:40,280 Speaker 2: of the person in the store. So that could be 14 00:00:40,360 --> 00:00:42,920 Speaker 2: that they have been carrying a weapon, they've assaulted a 15 00:00:42,920 --> 00:00:45,800 Speaker 2: staff member, that sort of thing, and then that will 16 00:00:45,840 --> 00:00:48,479 Speaker 2: alert them to say, hey, is this the same person 17 00:00:48,680 --> 00:00:52,200 Speaker 2: purely for identification purposes only with a lot of those 18 00:00:52,240 --> 00:00:54,880 Speaker 2: safeguards built into the system as well to make sure 19 00:00:54,920 --> 00:00:57,240 Speaker 2: we're protecting the privacy of the good people who haven't 20 00:00:57,320 --> 00:00:58,640 Speaker 2: actually offended in the stores. 21 00:00:58,800 --> 00:01:00,920 Speaker 1: Okay. So, and at that point, it's basically up to 22 00:01:00,960 --> 00:01:03,520 Speaker 1: the storekeepers how they deal with it, whether they refer it. 23 00:01:03,440 --> 00:01:06,560 Speaker 2: To the police or what that's right, and even how 24 00:01:06,600 --> 00:01:09,200 Speaker 2: they respond. There's lots of different ways they can respond. 25 00:01:09,240 --> 00:01:11,600 Speaker 2: They can greet the person and as they walk in, 26 00:01:11,720 --> 00:01:14,320 Speaker 2: or they might not approach at all because the person's 27 00:01:14,360 --> 00:01:17,679 Speaker 2: been known to be violent or aggressive or carry a weapon, 28 00:01:17,880 --> 00:01:22,040 Speaker 2: but it just gives them that really critical moment's notice 29 00:01:22,080 --> 00:01:24,600 Speaker 2: so they can respond better and keep themselves safe. 30 00:01:25,440 --> 00:01:28,760 Speaker 1: Is this information that will be shared between stores? So, 31 00:01:28,840 --> 00:01:32,199 Speaker 1: for example, if the person has walked into another different store, 32 00:01:32,360 --> 00:01:35,560 Speaker 1: totally different town, totally different kind of retailer, can I 33 00:01:35,560 --> 00:01:37,920 Speaker 1: get alerted in my store that that person's a dodgy one. 34 00:01:39,240 --> 00:01:41,039 Speaker 2: So the way in which we is a great question. 35 00:01:41,080 --> 00:01:43,080 Speaker 2: The way in which we've built the system and built 36 00:01:43,080 --> 00:01:46,400 Speaker 2: the solution for retailers is that we want them within 37 00:01:46,440 --> 00:01:49,160 Speaker 2: their own information that they already have in our system. 38 00:01:49,480 --> 00:01:51,680 Speaker 2: We want them to be able to keep their stores safe. 39 00:01:51,960 --> 00:01:53,880 Speaker 2: So we're not going to share this, or they're not 40 00:01:53,920 --> 00:01:57,480 Speaker 2: planning to share this between retailers, but within their own 41 00:01:57,520 --> 00:02:00,560 Speaker 2: store network. The expectation is that they would be able 42 00:02:00,640 --> 00:02:02,840 Speaker 2: to share it because there is a need for that, 43 00:02:02,880 --> 00:02:05,640 Speaker 2: and they've got an obligation to keep their staff across 44 00:02:05,680 --> 00:02:08,760 Speaker 2: their store network safe. But the key bit here, and 45 00:02:09,160 --> 00:02:12,200 Speaker 2: this is a really important point. We know that ten 46 00:02:12,240 --> 00:02:15,760 Speaker 2: percent offenders are causing sixty percent of the hum and 47 00:02:15,840 --> 00:02:19,640 Speaker 2: we know that those repeat organized offenders are steering and 48 00:02:20,840 --> 00:02:24,960 Speaker 2: committing these acts of violence across a wide geographic area, 49 00:02:25,120 --> 00:02:27,680 Speaker 2: and so it's quite important for the store to be 50 00:02:27,720 --> 00:02:30,080 Speaker 2: able to share that information in the right way. 51 00:02:30,240 --> 00:02:33,200 Speaker 1: Hey, Now, given that shoplifting is proving to be quite 52 00:02:33,280 --> 00:02:35,520 Speaker 1: a problem around the world, I would imagine that there 53 00:02:35,560 --> 00:02:37,240 Speaker 1: is a fair bit of business that you guys might 54 00:02:37,280 --> 00:02:39,360 Speaker 1: be able to do in places like Australia and the 55 00:02:39,440 --> 00:02:40,160 Speaker 1: UK and stuff. 56 00:02:41,520 --> 00:02:43,920 Speaker 2: Yeah, so we're already established in those markets and we 57 00:02:43,960 --> 00:02:46,359 Speaker 2: work with some of the largest retailers in the world. 58 00:02:46,400 --> 00:02:49,880 Speaker 2: And the thing that's really driving this is a few things. 59 00:02:49,880 --> 00:02:53,519 Speaker 2: One is the crime has gotten more violent and that's 60 00:02:53,520 --> 00:02:57,480 Speaker 2: a global trend and it's organized as well, right. And 61 00:02:57,520 --> 00:03:00,840 Speaker 2: then the technology that relates to that, they your recognition 62 00:03:01,680 --> 00:03:05,000 Speaker 2: element of this, which we don't build ourselves. We'll integrate 63 00:03:05,040 --> 00:03:08,160 Speaker 2: with other providers of that, but that technology has gotten 64 00:03:08,320 --> 00:03:12,040 Speaker 2: so much more accurate over the last two years, three 65 00:03:12,120 --> 00:03:16,400 Speaker 2: years even. And then of course the retail leaders that 66 00:03:16,440 --> 00:03:18,680 Speaker 2: we work with are telling us they've got an obligation, 67 00:03:18,919 --> 00:03:21,519 Speaker 2: whether it's through law or just morally, to keep their 68 00:03:21,560 --> 00:03:25,400 Speaker 2: people and their communities essentially safe. And so all of 69 00:03:25,400 --> 00:03:28,320 Speaker 2: those factors combine, we think now's the time for us 70 00:03:28,360 --> 00:03:31,560 Speaker 2: to step into this space quite proudly as well and 71 00:03:31,639 --> 00:03:32,720 Speaker 2: support our customers. 72 00:03:32,919 --> 00:03:34,520 Speaker 1: Good stuff, Hey, Nick, Thank you very much for your time, 73 00:03:34,600 --> 00:03:36,400 Speaker 1: Nick McDonald, Global head of Risk at AURA. 74 00:03:37,040 --> 00:03:40,240 Speaker 2: For more from Heather Duplessy, Allen Drive, listen live to 75 00:03:40,320 --> 00:03:43,360 Speaker 2: news talks. It'd be from four pm weekdays, or follow 76 00:03:43,400 --> 00:03:45,160 Speaker 2: the podcast on iHeartRadio