Two Visual Intelligence overlays: a garden group with the primary subject and two too-close neighbours marked, and a house with one window selected as a hiding place, one needing review and one rejected
Every photo is read before the effect is planned.

Visual Intelligence workflow: The key to making magic from your photos.

A werewolf needs somewhere for the moon to appear. A background scare needs a place to hide. A person stepping into a mech suit needs room for the suit and a way to leave the scene.

Those decisions depend on your photograph. MagicLens Visual Intelligence is designed to read the scene before rendering, looking for the places and poses that can carry the effect. The aim is a Momento that feels made for the picture you supplied.

A moon belongs in the sky

In this street portrait, there is open sky above the buildings, but branches fill one corner. The check chooses a clear patch for the moon and keeps it away from the person's head. It leaves the blocked corner alone.

Left, a street portrait marked with a clear moon position and a rejected branch-filled area; right, the same portrait at night with the moon above the skyline.
Plan on the left; the night portrait it produced on the right.

An indoor photo asks for a different decision. Sky visible through a window does not turn the room into an outdoor setting. In our café example, the Werewolf scene kept the café's own light rather than adding a moon indoors.

The setting should give the transformation a place to happen, not bend to make room for it.

Sometimes there are more places NOT to hide than to hide

A background scare needs one good hiding place, and a backyard at night offers more than a dozen candidates. Visual Intelligence reads them all: the string lights, the fence, the fire pit, the foliage, the windows, the ground and the shadows.

Most of them will not work. A figure cannot stand in front of the person, climb out of a window that may be closed, or hide behind shrubs with no visible ground to stand on. So the check rules places out until a single spot is left: the dark corner where the fence meets the house, behind the person, with ground underfoot and the house corner for cover.

Left, a night backyard covered in labelled boxes for every object found; right, the same yard with one spot behind the person selected in green and another ruled out.
Left: everything the check found in the yard. Right: the one spot it selected.

That corner is where the scare comes from.

The finished backyard Momento: a masked figure half-hidden in the dark corner where the fence meets the house, outlined in green.
The finished Momento, with the figure waiting in the chosen corner.
Press play: the figure appears in the corner the check chose, then turns up right behind him.

Sometimes the useful answer is another photo

And sometimes it just won't work, so Visual Intelligence rejects the photo. A close portrait in a garage may have nowhere behind the person to hide a figure. A crowded living room may offer neither clear floor space nor a usable exit for a mech.

Left, a tight garage portrait marked as unsuitable for a background scare; right, a couple in a crowded living room marked as unsuitable for a mech exit.
Left: no hiding place behind him. Right: no floor and no way out.

We want that explanation to be useful. An answer such as “there is nowhere behind you for this effect” gives someone a reason to choose another picture. It also lets us change the plan before making a film that the scene cannot carry.

A closed door can still be an exit

A photo describes one instant. A film can change what happens next.

That is why a closed door can work for the Mech Suit: the scene can include opening it. The check needs to recognise the door, its position and the space around the person, then choose an exit that fits the action.

The chosen door and proposed exit marked on a Mech Suit test photo.
Green marks the closed door chosen as the exit; red marks the side window the plan rules out.

In a separate empty-park test, the check selected an upward launch. The resulting film was approved in our development review. Different surroundings led to a different way to tell the same kind of story.

Measuring the space between people

A Mech Suit needs room to take off, so Visual Intelligence measures the distance between the person who gets the suit and everyone else in the frame. A take-off fires its flight burners, so the plan treats anyone within a head's width of the wearer as too close; someone a few steps behind is clear.

In this test, the woman in the red jacket is the one who gets the suit. The man beside her measures less than a head's width away in the picture, so the plan proposes removing him before the effect begins, and asks the user first. The man behind her is far enough back to stay.

A garden photo of three people: the woman in red marked as the primary subject, the man beside her marked for removal as too close, and the man behind her marked as clear to stay.
Solid red: too close, removed only if the user agrees. Dashed: overlaps her in the picture but stands far enough behind to stay.

The same measuring applies to the person themselves. Arms pressed against the body leave too little room for a suit to form, so one test asked for the arms to hang a hand's width from the sides while the feet stay in place.

What we are still improving

Reading a flat photograph has limits. One test treated a porch roof as an obstacle above the people even though it was behind them. Another needed a sharper instruction before it noticed arms held close to the body.

The plans give us something concrete to inspect and correct. We can see which spot was selected, why another was rejected and where the reading of the scene went wrong. The overlays in this article are development evidence; they do not imply that every planning view is available as a customer control.

The people-removal and pose-adjustment examples here show planning decisions. The finished effect still has to follow that plan: noticing a problem and solving it in a film are separate steps.

If you are curious about what the planning serves, see the Halloween Momentos, read how we built the Werewolf transformation, or start with What is a Momento?. Every Momento begins with the same question: what can this photograph become?