Acute respiratory infections (ARI) are a major cause of child morbidity and mortality globally. Pneumonia in particular is the leading cause of child mortality with developing countries accounting for majority of the deaths. In Kenya 17% of deaths among children below five years were caused by pneumonia. A total of 534,863 new cases of childhood pneumonia were registered in the year 2013 alone. The World Health Organization (WHO) recommends using respiratory rate cut-offs for diagnosis and classification of pneumonia in low-resource settings where chest radiology or blood tests are largely unavailable.  Accurate respiratory rate counting is thus critical in determining the subsequent management of childhood pneumonia. Therefore, it is crucial to improve ways of counting the respiratory rate. Having a better and more reliable device for accurate respiratory rate count is important for diagnosis and management of pneumonia in children. The Philips Research Group has developed an automated pneumonia diagnostic device named as “Children’s Automated Respiration Monitor (ChARM)”.The device automatically measures the respiratory rate and classifies according to the current WHO guidelines. This study aims at assessing the accuracy, usability and acceptability of the device as a step towards recommending it for large scale public use in the management of pneumonia in children.