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BOADU’S COLLECTIONS WORK STARTS ON MONDAY LOCATION: ASAFO POST OFFICE- KUMASI TIME : 7AM TO 9PM CONTACT US ON: 0545323967 DELIVERY WITHIN AND WITHOUT KUMASI 📦🛵 ABLE GOD 🙏💯

54,915 次观看 • 2 年前 •via X (Twitter)

10 条评论

BigSam 的头像
BigSam2 年前

Life after football. Well done for thinking ahead

Samuello 的头像
Samuello2 年前

Massive!!

Barcaforlife 的头像
Barcaforlife2 年前

Within and outside*…

Richard Boadu ⚽️🇬🇭🇱🇾🇹🇳 的头像
Richard Boadu ⚽️🇬🇭🇱🇾🇹🇳2 年前

Yeah bro mistake outside rather 😂

maestrojigger 的头像
maestrojigger2 年前

wow u force waaaa....I have to pass through

Asuo 的头像
Asuo2 年前

Yagye sika ooooo🔥🔥🔥🔥

Prince Young (AK-0000322) 的头像
Prince Young (AK-0000322)2 年前

Congratulations my brother

Omar 👑🙏🍀 的头像
Omar 👑🙏🍀2 年前

Congratulations

Daniel Owusu Asante 的头像
Daniel Owusu Asante2 年前

Great

Daniel-Opanin Kofi Darkwah Amoako Jnr. 的头像
Daniel-Opanin Kofi Darkwah Amoako Jnr.2 年前

Saved

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Falco Girgis

31,150 次观看 • 1 个月前

Once we started to work with large global retailers, we needed a better way to scale this process. Ideally, the staff at the store could do this themselves — rather than us flying our team across the world — and then we could lower the cost and timelines. So we built a self-serve version of our survey app, with a tutorial mode designed for beginners. Over time, we collected millions of data points, and so we were able to develop an algorithm which would auto-correct mistakes. In other words, if the surveyor accidentally placed their ground-truth location in the wrong place on the map, we could use our algorithms to detect it, and correct it. So now we have WiFi, and with and our efforts on producing a high quality survey, we have the best WiFi positioning available. With WiFi on its own, it’s achieving 3 meter accuracy. This is a great foundation to build on. WiFi + Motion data To refine this down to 1-meter accuracy, we realised that we could combine WiFi with the same technology behind self-driving cars and robotics: a motion system called SLAM (Simultaneous Localization and Mapping). SLAM uses the accelerometer, gyroscope and camera system to understand precise device motion. Imagine a car driving through a tunnel, using the motion since its last GPS ping to keep location accurate until it comes out the other side. On a phone, this technology is very reliable, and measures device motion with high precision. But SLAM is measuring motion within its own coordinate space, it’s not aligned with the real world. SLAM tracks the user’s relative motion, like “moved forward 2 meters, then turned left”, but does “forward” mean “north”, or some other direction? It’s not calibrated, so it could mean any location, any direction. We can’t rely on the compass to help us out with this, because phone compasses are notoriously incorrect — everyone knows the frustration of being sent the wrong way down a street. So our job was to align this motion data with the triangulation data we were receiving from WiFi. We designed an algorithm that could simulate every possibility, filter the unlikely scenarios, and hone in your location, using WiFi as an anchor. So WiFi gives us the initial blue dot, SLAM gives us motion, and as the user starts walking and we receive more data, our algorithms can refine location accuracy down to a consistent 1-meter accuracy. We’ve tested these algorithms in many locations, on hundreds of hours of ground-truth data:

Andrew Hart

91,033 次观看 • 1 年前