ʻO ka wā e hiki mai ana o ke wikiō wikiō a me ka ʻimi ma aneʻi!

papakaumaka

He mea kupaianaha kēia a he mea hoʻololi pāʻani hoʻi no ka mākeke lawe lima. Pale ua hoʻokuʻu ʻia ma Netherlands. Duke Long ua hoʻouna mai iaʻu i kahi loulou i kēia ʻenehana hou… kāhea ʻo Layar iā ia he polokalamu kele pūnaewele hoʻonui ʻia me ke kelepona paʻalima. Kāhea wau ia i ka wā e hiki mai ana!

He noi manuahi ʻo Layar ma kāu kelepona paʻalima e hōʻike ana i ka mea a puni ʻoe e ka hōʻike ʻana i ka ʻike kikohoʻe manawa maoli ma luna o ka ʻoiaʻiʻo ma o ke kāmela o kāu kelepona paʻalima.

Loaʻa ʻo Layar no ka T-Mobile G1, HTC Magic a me nā mea ʻē aʻe Android kelepona i loko ʻO Market Market no ka Netherlands. E hoʻohui ʻia nā ʻāina ʻē ma hope. ʻAʻole ʻike ʻia nā lā lola i hoʻolālā ʻia no nā ʻāina ʻē aʻe.

Inā ʻaʻole ʻoe e ʻike i ke wikiō ma kēia pou, e kaomi ma o a ʻike i ka mea mua polokalamu kele pūnaewele hoʻonui hoʻonui ʻia! Ke heihei nei koʻu noʻonoʻo i nā hana kupaianaha o kahi ʻenehana e like me kēia!

4 Comments

  1. 1
    • 2

      Looks like it's a combination of GPS and video, Adam. Really quite incredible. Imagine this with product and facial recognition. Instead of forgetting people's names, I could just point my address book at them!

  2. 3

    It is an excellent demo – but it is here as in a lab someplace.

    I can easily see this being done on the iPhone. That azimuth detector they put in there with the Camera and GPS will make for some amazing apps methinks.

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