Thanks, so much for sharing your thoughts, Tony. You're right. It's a hockey puck. Black hard rubber. Can forget about velocity for now as that complicates things and is a plus, but not a necessity. When the puck crosses a plane, like a goal line, the sensor recognizes it. In this application location relative to the goal line doesn't need to be accurate, as long as the sensor knows the puck is there.For example;
Golf balls can be sensed with a vertical array of interruption IR paths for velocity and height. But for reflection this is a much smaller signal especially if black..
Not all black objects are black with IR so reflectivity must be given. as a % of white and the wavelength used. Black paint has a high coefficient (looks grey) and Sharpie black Ink is very low. Rubber may also be low and is diffused.
So a reflection coefficient test is needed with typical IR LED and/or laser wavelengths., if you can.
170 kph is ~ 47 m/s or 47 mm /ms at zero range but if at a 2m range and a semi circle of 6.28m detection of the object signal is now reduced and is inverse to R^2. This can only be made more linear with a pulsed Laser emitter and very small horizontal viewing angle but a wide vertical detector using AGC to detect small changes.
A 3D sketch of all objects and detection window, as height, distance and viewing angle are all important but sounds like a hockey puck goal sensor.
Waiting for your answers.
Klaus, thank you for the insightful questions. Imagine the disk (which is an ice hockey puck) going across a goal like. Use environment is an ice rink, gym, driveway, garage, or a location where people can shoot on a goal. When the puck passes the detection window of the sensor, which can be just a line, don't need a wide angle, the sensor is triggered.Hi,
what I miss is: the specification of accuracy and where the sensors are located.
I mean, if the sensors are besides the travel path ... you probably get some speed accuracy error.
But if a doppler radar sensor in exactly "in path" ... the sensor would be hit with your 170kph rubber disc. ... and maybe destroyed.
A sketch with travel path range and angular range and also where the sensors can be located ... would be helpful.
Sizes at all. Are we talking about an indoor living room applicatioin or is it some outdoor application on a football field size.
Klaus
Hi Brad, these all make sense. Thanks for sharing your thoughts. I'll respond on each one to help define the objective.I'm reminded of equipment that either:
1) detects how fast a pitcher throws a baseball, or
2) radar gun that police use to detect vehicle speeds, or
3) portable cameras turn to follow a subject moving, or
4) porch-mount security cameras detect and focus on subject in field of view.
Every so often there's a discussion at Edaboard about making a room-sized radar system, either light-transmitted or audio-transmitted. (Often the plan is to mount it on a robot.) Since you wish to detect a moving object, spectral shift might assist. Moving away from your sensor, slightly red. Toward your sensor, slightly blue.distance we're looking for is 2m, whereas the car radar probably works at over 10m.
Hi Brad, appreciate your continued interest. What I'm trying to achieve seems simpler than this. The goal is just to know when an Object crosses 1 axis. For example, knowing when runners cross the finish line of a race or when a hockey puck crosses a 2m line. Any ideas of the lowest cost sensor for this kind of thing? Ideally, one sensor is enough, but if a sender and a receiver is necessary, so be it.Every so often there's a discussion at Edaboard about making a room-sized radar system, either light-transmitted or audio-transmitted. (Often the plan is to mount it on a robot.) Since you wish to detect a moving object, spectral shift might assist. Moving away from your sensor, slightly red. Toward your sensor, slightly blue.
Astronomers use the same strategy. Suppose you watch through a color viewer, yet you adjust stationary objects to appear black or white or gray. Then the slightest color change is a moving object.
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Put two identical sensors at a 90 degree angle just like one is on the X axis, and the other sensor is on the Y axis.
Hi Tony, apologies, I didn't pick up on the requests. In this case there is no goalie, so no interference. What is the second request?Unfortunately you could not answer my 2 requests.
A fundamental problem is goalie interference with optics at the goal line. Two corner cameras might be the only way with motion detection and pattern recognition.
I pictured boots in the background, a mixture of black & white pixels. It's starting to seem like an overhead view is sufficient. Is the background white ice? Have a camera shoot one picture per 1/100 sec. During the next 1/100 sec count black pixels.The goal is just to know when an Object crosses 1 axis.
so .. you don´t want to measure the speed ... you are just interesteed in the "position".Hi Brad, appreciate your continued interest. What I'm trying to achieve seems simpler than this. The goal is just to know when an Object crosses 1 axis. For example, knowing when runners cross the finish line of a race or when a hockey puck crosses a 2m line. Any ideas of the lowest cost sensor for this kind of thing? Ideally, one sensor is enough, but if a sender and a receiver is necessary, so be it.
First time that you come up with quantitative specs. There are however some wrong assumptions and specs are still partly vague.- These, like a good radar gun, are high cost. We'd like something that's cents, rather than dollars. If it costs dollars then we'd probably need to change the product design to include less sensors per device. Also the distance we're looking for is 2m, whereas the car radar probably works at over 10m.
Hey Brad! Within the 2m range there won't be any interference. No need to take that into consideration. These aren't used in a real game, but in a controlled environment.I pictured boots in the background, a mixture of black & white pixels. It's starting to seem like an overhead view is sufficient. Is the background white ice? Have a camera shoot one picture per 1/100 sec. During the next 1/100 sec count black pixels.
a) If the tally is different, then you detected movement.
b) Or if the location of black pixels changed since the previous picture, then that detects movement.
c) Or if a group of black pixels follows a straight line compared to two previous images, then that detects movement.
Hi Klaus, glad you mentioned this. Speed was included in the headline to indicate the speed of Object for detection purposes, not that a speed reading was necessary. Apologies for the confusion caused by that and thanks for your attention!!so .. you don´t want to measure the speed ... you are just interesteed in the "position".
I have to admit, since your headline talks about "moving" and "speed" ... I was focussed on speed measurement.
Now I see I was wrong.
Still a sketch with some dimensions would be helpful. It is way more informative and "international" than text.
Klaus
Keeping the puck on the ground makes this possible.For example;
Golf balls can be sensed with a vertical array of interruption IR paths for velocity and height. But for reflection this is a much smaller signal especially if black..
Not all black objects are black with IR so reflectivity must be given. as a % of white and the wavelength used. Black paint has a high coefficient (looks grey) and Sharpie black Ink is very low. Rubber may also be low and is diffused.
So a reflection coefficient test is needed with typical IR LED and/or laser wavelengths., if you can.
170 kph is ~ 47 m/s or 47 mm /ms at zero range but if at a 2m range and a semi circle of 6.28m detection of the object signal is now reduced and is inverse to R^2. This can only be made more linear with a pulsed Laser emitter and very small horizontal viewing angle but a wide vertical detector using AGC to detect small changes.
A 3D sketch of all objects and detection window, as height, distance and viewing angle are all important but sounds like a hockey puck goal sensor.
Waiting for your answers.
Heya FvM! We're thinking in the same direction.First time that you come up with quantitative specs. There are however some wrong assumptions and specs are still partly vague.
You should clarify if you need distance discrimination. If so, the sensor choice is narrowing to ultrasonic, RF or light TOF or RF FMCW principles.
There are chip level IR light TOF distance sensors available, e.g. from ST. Also ultrasonic TOF is an option for cheaper solutions.
Absolutely, Tony. Hopefully the image I used above helps with visualization. Note that the actual application of the sensor will be random places on the ice. Here are specific use cases.The best fit I see is a reflective mirror to a narrow beam LED or laser diode to an optical amplifier with adequate BW to detect.
Keeping the puck on the ground makes this possible.
A standard ice hockey puck has a diameter of 3 inches (76.2 mm). It is also 1 inch (25.4 mm) thick
170 kph or 47 mm/ms means a light path will be blocked at least 1ms depending on the optical aperture size and in this case the accuracy of the mirror reflector.
I would use a visible red laser diode and use a reflective surface that is rigid and can not be hit out of alignment like a garage door sensor. Using a diffused 5 to 10 mm aperture to detect the reflection offset from the emitter requires an accurate stable alignment of the mirror surface but it must be located at the goal's horizontal edge.
This is why I asked for a detailed sketch.
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