Child protection as surveillance of African American families

The over-representation of black children in US out of home care results from racial bias in placement decisions and a political choice to address startling rates of child poverty by investigating parents instead of tackling poverty's societal roots. The impact of state disruption and supervision of African American families is intensified when it is concentrated in inner-city neighbourhoods – the system's ‘racial geography.’ A small case study of a black neighbourhood in Chicago with high rates of out of home placement found profound effects on both family and community social relationships, as well as reliance on child protective services for financial assistance, linking surveillance of black families to the neoliberal shrinking of public programmes. The surveillance of African American women by the child welfare system is also intensified by these women's disproportionate involvement in the prison system. Acknowledging racial bias in child welfare reveals the need to radically transform the system from one that relies too much on punitive disruption of families to one that generously supports them.     

Determination of average vehicle speed utilizing reverse projection

Reverse projection photogrammetry has long been used to estimate the height of an individual in forensic video examinations. A natural extrapolation would be to apply the same technique on a video to estimate the speed of an object by determining the distance traveled between two points over a set amount of time. To test this theory, five digital video recorders (DVRs) were connected to a single fixed camera to record a vehicle traveling down a track. The vehicle's speed was measured through Doppler radar by a trained operator and the speedometer of the vehicle was also recorded with a video camera. The recorded video was examined and the frames that best depict the beginning and end of the vehicles course were selected. Two reverse projection photogrammetric examinations were performed on the selected frames to establish the position of the vehicle. The distance between the two points was measured, and the time elapsed between the two points was examined. The outcome provided an accurate speed result with a standard degree of uncertainty. This study proves the feasibility of using video data and reverse projection photogrammetry to determine the speed of a vehicle with a limited set of variables. Further research is needed to determine how additional variables would impact the standard degree of uncertainty.