Amazon Local deal service: Soon on mobile

Amazon recently launched their AmazonLocal deals service in a handful of US cities. The service is a lot like GroupOn and other deals services - users subscribe to deals in a particular area, and receive electronic vouchers in their e-mail inbox each day. This area has been getting a lot of attention, including the Google Offers service and Google's recent acquisiton of DealMap, leading up to GroupOn's expected IPO.

This new deals service is a natural for Amazon, who is already a top trusted name in consumer on-line purchasing. Most people do a lot more purchasing through Amazon than through Google or any other big player.

Amazon appears to have big plans for Amazon Local. They're busy hiring mobile developers for their Amazon Local team, clearly building a mobile app and infrastructure for a phone-based Amazon Local experience. They're targeting iOS and Android platforms, as well as a mobile web version. They're using their Amazon Web services system on the server side, and a variety of development technologies including service oriented architectures, Spring, Hibernate, Memcached, RPC, Ruby, Rails, as well as HTML/CSS/JavaScript.

The race is on to see who can bring us deals in a truly usable and effective way.....

Intel demos indoor location technology in new Wi-Fi chips at MWC 2015

Intel made several announcements at MWC 2015, including a new chipset for wireless connectivity (Wi-Fi) in mobile devices. This new chipset, the 8270, include in-chip support for indoor location positioning. Below we explain their technology and show a video of it in action. With this announcement, Intel joins Broadcom, Qualcomm and other chip makers in moving broad indoor location positioning into mobile device hardware. The transition of indoor location positioning into chips is a trend identified in the newest Grizzly Analytics report on Indoor Location Positioning Technologies , released the week before MWC 2015. By moving indoor location positioning from software into hardware, chips such as Intel's enable location positioning to run continuously and universally, without using device CPU, and with less power consumption. Intel's technology delivers 1-3 meter accuracy, using a technique called multilateration, generating a new location estimate every second. While 1-

The year indoor location will truly take off

For years I've been writing sentences like "this will be the year that indoor location will explode into the market." I, and many others, have been expecting indoor location technology to enable the huge range of location-enabled apps, which currently work only outside where GPS signals are available, to work inside. But until now the promise of indoor location has remained a promise. But if we look at the reasons for this, we'll see that it is about to change. 2017 and 2018 are poised to be the years that the challenges keeping indoor location from going mainstream will be solved. First is accuracy. Most indoor location technologies until a year or so ago had accuracy in the range of 4 to 8 meters. This sounds good in principle, and in fact is better than GPS in many cases. But GPS systems are able to use road details to hide their inaccuracies, so that the blue dot seems to follow your driving car almost perfectly. But indoors, this sort of inaccuracy means y

Robot Camera Foreshadows an Era of Location-Aware Electronics

A French company called Move 'N See produces a line of camera robots. Their devices act as a smart tripod, holding a video camera and automatically moving and zooming the camera as people of interest move around a site. The idea is simple but amazingly innovative. Photo selfies are easy to take, but video selfies are next to impossible. How can I video myself playing football or doing gymnastics, without setting the camera so far back as to be useless? Do spectators want to spend an entire sporting event carefully videoing their friend or relative moving around the field? Enter Move 'N See's "personal robot cameramen." Their devices aim, pan and zoom a video camera as one or more people move around an area. The people of interest wear armbands whose locations are tracked, enabling the camera controller to know where to aim the camera. The camera controller also includes enough smarts to adjust the camera smoothly and to capture multiple people evenly. T

Grizzly Analytics Blog

Search This Blog