This privacy notice discloses the privacy practices for InFlow Machine Learning Inc. This privacy notice applies solely to information collected by this website. It will notify you of the following:
We are the sole owners of the information collected on this site. We only have access to/collect information that you voluntarily give us via email or other direct contact from you. We will not sell or rent this information to anyone.
We will use your information to respond to you, regarding the reason you contacted us. We will not share your information with any third party outside of our organization, other than as necessary to fulfil your request, e.g. to ship an order.
You may opt out of any future contacts from us at any time. You can do the following at any time by contacting us via the email address or phone number given on our website:
We take precautions to protect your information. When you submit sensitive information via the website, your information is protected both online and offline.
Wherever we collect sensitive information (such as credit card data), that information is encrypted and transmitted to us in a secure way. You can verify this by looking for a lock icon in the address bar and looking for "https" at the beginning of the address of the Web page.
While we use encryption to protect sensitive information transmitted online, we also protect your information offline. Only employees who need the information to perform a specific job (for example, billing or customer service) are granted access to personally identifiable information. The computers/servers in which we store personally identifiable information are kept in a secure environment.
InFlow's incredibly easy to use people counting dashboard allows any organization big or small to extract powerful insights. By using existing security cameras and AI powered by the the cloud. InFlow offers the best real time people counter with no need to install new hardware or software.
InFlow's unique method of organizing movement information allows for the extraction of counts and statistics for any direction of movement within the video. Any combination of counts can be extracted, compared, and aggregated from the time the camera was first set up.
At InFlow we've built a cutting edge video analytics platform enabling real time object classification for any security camera in any environment.
InFlow recently took home first place at Innovation Factories Pitch Night. InFlow presented alongside 8 other companies all disrupting a variety of industries.
InFlow was recently listed as one of six McMaster Engineering Startups to watch. Companies listed are tackling a diverse set of problems ranging from biological age testing to AR firefighting equipment.
Smart cities are often misconstrued with high tech sensor nodes and mountains of data. In this post we discuss the importance of smart practices as the baseline to set the stage for smart cities.
The value of data comes down to an organization’s ability to both interpret and convert it into an action that can accurately predict the outcome. In this post we discuss actionable insights and the importance of feedback loops and relevant information in making data driven decisions.
In a world where we're told data is the new oil it's never been easier go up in flames when trying to find the meaning of it all. This post focuses on strategies to derive insights from mountain-high haystacks of data.