Mac Mah - Fog Blaster 1500 Go

The Fog Blaster 1500 Go is a high-powered smoke machine designed to quickly create a striking visual effect, whilst maintaining a concentrated spray that allows the smoke to be directed towards a specific area. With a heating power of 1500 W, it delivers a maximum stated output of approximately 800 m³/min and can project smoke over a distance of between 10 and 15 metres, depending on the fluid used and operating conditions. It is therefore equally suitable for stage use and for enhancing a venue during an event.

It takes approximately 3 to 5 minutes to reach operating temperature. Once the temperature is reached, the unit automatically switches to standby mode and is quickly ready for use again thanks to a reheat time of approximately 30 seconds. A manual control button with an indicator light allows you to easily activate the machine as soon as it is ready.

The Fog Blaster 1500 Go also features several LED lights designed to complement the smoke projection. The front output features four 3 W RGB LEDs, giving a total power of 12 W, allowing you to select different colours or a range of effects: static colours, colour changes, fades, gradual fade-outs or a combination of several effects. The speed of certain effects can be adjusted across 10 levels.

This portable smoke machine is particularly useful for highlighting an artist’s entrance, accentuating a lighting sequence, showcasing a set design or creating a one-off effect during a show. For a DJ set or a party, it can also be used to accompany a change in music, a drop or a highlight of the programme.

A 10 W RGB LED strip is also built into the side of the unit. It offers various chase effects combining red, green, blue, yellow, purple, cyan and white, as well as a multicolour mode. Its scroll speed can also be adjusted across 10 levels.

The smoke machine has a 0.3-litre liquid tank and a built-in battery offering up to approximately 2 hours’ standby time. It takes approximately 1.5 to 2 hours to recharge the battery. This design minimises installation constraints and makes it easier to use in a variety of performance spaces.