<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>Cerium</author><text>Sorting by optical recognition and air guns to separate a falling curtain of product into two output streams is already a product. The development of these machines are the reason that 10 or 15 years ago you stopped seeing bad beans in bulk bean bags. I am involved in the tea industry where they are used to sort tea by grade - stems, bad leaves, broken leaves, full leaves.&lt;p&gt;Here is a diagram: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;www.satake-usa.com&amp;#x2F;what-is-optical-sorting.html&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;www.satake-usa.com&amp;#x2F;what-is-optical-sorting.html&lt;/a&gt;</text><parent_chain><item><author>mozak1111</author><text>I see this and I immediately think of &amp;quot;trash sorting&amp;quot; at ultra high speed. If one can combine this with a bunch of accurate (laser precision) air guns, to shoot and move individual pieces of trash you can sort through a truck load of trash in a matter of seconds, perhaps in the air while they are being dumped! compare this approach with how we are currently doing it [0] - Somebody should get Elon Musk on this project right away!&lt;p&gt;[0] - &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;www.youtube.com&amp;#x2F;watch?v=QbKA9uNgzYQ&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;www.youtube.com&amp;#x2F;watch?v=QbKA9uNgzYQ&lt;/a&gt;</text></item></parent_chain></comment><story><title>Object Detection at 1840 FPS with TorchScript, TensorRT and DeepStream</title><url>https://paulbridger.com/posts/video-analytics-deepstream-pipeline/</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>ebalit</author><text>Not related to Elon but there is a company called Pellenc ST  in the south of France that work exactly on this kind of problem. You can see a video of one of their machines here [0].&lt;p&gt;I work at an AI consultancy [1] that help them use deep neural nets in these high throughput and low latency conditions. It&amp;#x27;s an interesting challenge and the performance than can be squeezed from modern hardware are indeed impressive.&lt;p&gt;0: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;youtu.be&amp;#x2F;XLciSGE82DY?t=280&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;youtu.be&amp;#x2F;XLciSGE82DY?t=280&lt;/a&gt;&lt;p&gt;1: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;neovision.fr&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;neovision.fr&lt;/a&gt;</text><parent_chain><item><author>mozak1111</author><text>I see this and I immediately think of &amp;quot;trash sorting&amp;quot; at ultra high speed. If one can combine this with a bunch of accurate (laser precision) air guns, to shoot and move individual pieces of trash you can sort through a truck load of trash in a matter of seconds, perhaps in the air while they are being dumped! compare this approach with how we are currently doing it [0] - Somebody should get Elon Musk on this project right away!&lt;p&gt;[0] - &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;www.youtube.com&amp;#x2F;watch?v=QbKA9uNgzYQ&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;www.youtube.com&amp;#x2F;watch?v=QbKA9uNgzYQ&lt;/a&gt;</text></item></parent_chain></comment><story><title>Object Detection at 1840 FPS with TorchScript, TensorRT and DeepStream</title><url>https://paulbridger.com/posts/video-analytics-deepstream-pipeline/</url></story>